Top 250 Artificial Intelligence Interview Questions and Answers

Updated 11 Dec 2024

Q1. What is MLT?

Ans.

MLT stands for Medical Laboratory Technician.

  • MLT is a healthcare professional who performs laboratory tests and procedures.

  • They collect and analyze samples such as blood, urine, and tissue.

  • MLTs work under the supervision of medical technologists or pathologists.

  • They operate and maintain laboratory equipment.

  • MLTs ensure accuracy and quality control in test results.

  • They may specialize in areas like microbiology, hematology, or immunology.

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Q2. Tell us about transformer

Ans.

A transformer is an electrical device that transfers electrical energy between two or more circuits through electromagnetic induction.

  • Transformers are used to increase or decrease the voltage levels in electrical power transmission and distribution systems.

  • They consist of two or more coils of wire, known as windings, which are wound around a core made of magnetic material.

  • The primary winding is connected to the input voltage source, while the secondary winding is connected to...read more

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Q3. What is deep in deep learning

Ans.

Deep in deep learning refers to the multiple layers of neural networks used to process complex data.

  • Deep learning involves multiple layers of artificial neural networks

  • These layers allow for the processing of complex data such as images, speech, and natural language

  • The depth of the network allows for more accurate predictions and classifications

  • Examples of deep learning applications include image recognition, speech recognition, and natural language processing

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Q4. Explain neural networks, backpropagation?

Ans.

Neural networks are a type of machine learning model that mimic the human brain. Backpropagation is an algorithm used to train neural networks.

  • Neural networks are composed of interconnected nodes called neurons.

  • Each neuron takes inputs, applies weights to them, and passes the result through an activation function.

  • Backpropagation is used to adjust the weights of the neurons in a neural network during training.

  • It works by calculating the error between the predicted output and t...read more

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Q5. What do you understand by content moderation?

Ans.

Content moderation refers to the process of monitoring and reviewing user-generated content to ensure it complies with guidelines and policies.

  • Content moderation involves reviewing and filtering user-generated content.

  • It is done to ensure compliance with community guidelines and policies.

  • Moderators assess content for inappropriate or harmful elements.

  • Examples include reviewing social media posts, comments, images, videos, and forum discussions.

  • Moderators may remove or flag co...read more

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Q6. 3- what is Transformer ? Which principal it's work.?

Ans.

A transformer is an electrical device that transfers electrical energy from one circuit to another through electromagnetic induction.

  • Transformers work on the principle of electromagnetic induction

  • They are used to increase or decrease the voltage of an alternating current (AC) power supply

  • Consists of two coils of wire, primary and secondary, wrapped around a magnetic core

  • When AC current flows through the primary coil, it creates a magnetic field that induces a voltage in the s...read more

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Q7. How much of AI, Robotics did you handle?

Ans.

I have handled AI and Robotics in my previous role as a Project Manager.

  • Managed a team of developers to create an AI chatbot for customer service

  • Implemented a robotic process automation system to streamline manual tasks

  • Worked with data scientists to develop machine learning algorithms for predictive analytics

  • Collaborated with hardware engineers to design and build a prototype robot for warehouse automation

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Q8. What is AI ? Where can we use it ?

Ans.

AI stands for Artificial Intelligence. It is a branch of computer science that focuses on creating intelligent machines.

  • AI is the simulation of human intelligence in machines that are programmed to think and learn like humans.

  • It involves the development of algorithms and models that enable machines to perform tasks that typically require human intelligence.

  • AI can be used in various fields such as healthcare, finance, transportation, education, and entertainment.

  • In healthcare,...read more

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Q9. what is document understanding in Uipath

Ans.

Document understanding in UiPath is the ability to extract data from unstructured documents using AI and machine learning.

  • It involves using OCR to read and extract data from documents such as invoices, receipts, and contracts.

  • The extracted data is then validated and processed using machine learning algorithms.

  • UiPath's Document Understanding framework provides pre-built templates and workflows for common document types.

  • It can be used to automate processes such as invoice proce...read more

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Q10. How to solve the problem in robot means how to detect fault?

Ans.

To solve problems in robots and detect faults, various techniques can be used such as sensor monitoring, data analysis, and predictive maintenance.

  • Implement sensor monitoring to detect abnormal behavior or deviations in robot performance.

  • Collect and analyze data from sensors to identify patterns or anomalies that indicate faults.

  • Utilize predictive maintenance techniques to anticipate and prevent potential failures.

  • Implement fault detection algorithms or machine learning model...read more

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Q11. Where and how do we use AI in our day to day life?

Ans.

AI is used in various aspects of our day to day life, from virtual assistants to recommendation systems.

  • Virtual assistants like Siri, Alexa, and Google Assistant use AI to understand and respond to voice commands.

  • AI-powered recommendation systems are used by platforms like Netflix and Amazon to suggest personalized content and products.

  • AI is used in spam filters to identify and block unwanted emails.

  • Smart home devices like thermostats and security systems use AI to learn and ...read more

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Q12. What is RL

Ans.

RL stands for Reinforcement Learning, a type of machine learning where an agent learns to make decisions by interacting with an environment.

  • RL involves an agent that interacts with an environment to learn how to make decisions.

  • The agent receives rewards or punishments based on its actions, which helps it learn to make better decisions.

  • RL has been used in various applications such as game playing, robotics, and autonomous driving.

  • Popular RL algorithms include Q-learning, SARSA...read more

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Q13. Explain AI tools present in market

Ans.

AI tools in the market include chatbots, image recognition, predictive analytics, and natural language processing.

  • Chatbots for customer service and support

  • Image recognition for facial recognition and object detection

  • Predictive analytics for forecasting trends and patterns

  • Natural language processing for sentiment analysis and language translation

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Q14. What are the internal testing of transformers

Ans.

Internal testing of transformers involves various tests to ensure proper functioning and safety.

  • Insulation resistance test to check for any insulation breakdown

  • Polarity test to verify correct connections

  • Turns ratio test to ensure proper voltage transformation

  • Winding resistance test to check for any short circuits or open circuits

  • Impedance test to determine the impedance of the transformer

  • Dielectric tests to assess the dielectric strength of the insulation material

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Q15. What is the GPT?

Ans.

GPT stands for Glutamic Pyruvic Transaminase, an enzyme found in the liver and used as a marker for liver damage.

  • GPT is also known as Alanine Transaminase (ALT).

  • Elevated levels of GPT in the blood can indicate liver damage or disease.

  • GPT levels are often measured in routine blood tests to monitor liver function.

  • Certain medications and alcohol consumption can also affect GPT levels.

  • GPT is not specific to liver damage and can also be elevated in other conditions such as muscle ...read more

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Q16. Explain the steps involved in Voice Recognition

Ans.

Voice recognition involves several steps to convert spoken words into text.

  • Pre-processing: Removing noise and normalizing audio signals.

  • Feature extraction: Identifying key features in the speech signal.

  • Acoustic modeling: Creating statistical models to represent speech sounds.

  • Language modeling: Constructing a language model to predict word sequences.

  • Decoding: Matching the speech signal to the most likely word sequence.

  • Post-processing: Correcting errors and improving accuracy.

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Q17. What is AI and examples

Ans.

AI stands for Artificial Intelligence, which refers to the simulation of human intelligence in machines.

  • AI is used in various fields such as healthcare, finance, transportation, and entertainment.

  • Examples of AI include virtual assistants like Siri and Alexa, self-driving cars, facial recognition technology, and chatbots.

  • AI can be categorized into three types: narrow or weak AI, general AI, and super AI.

  • AI technologies include machine learning, natural language processing, and...read more

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Q18. Explain the process of SMT?

Ans.

SMT (Surface Mount Technology) is a process used in electronics manufacturing to mount electronic components onto the surface of a printed circuit board (PCB).

  • SMT involves placing electronic components onto the PCB using solder paste and a pick-and-place machine.

  • The solder paste is applied to the PCB using a stencil, and then the components are placed onto the paste.

  • The PCB is then heated in a reflow oven, causing the solder paste to melt and create a permanent connection bet...read more

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Q19. Give me some examples for AI

Ans.

AI refers to the simulation of human intelligence in machines that are programmed to think and learn.

  • Virtual personal assistants like Siri and Alexa

  • Recommendation systems like Netflix and Amazon

  • Autonomous vehicles like self-driving cars

  • Natural language processing used in chatbots

  • Image recognition and computer vision technologies

  • Fraud detection systems in banking

  • AI-powered medical diagnosis and treatment systems

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Q20. What is chatbot?

Ans.

A chatbot is a computer program designed to simulate conversation with human users, especially over the internet.

  • Chatbots use natural language processing to understand and respond to user queries.

  • They can be used for customer service, personal assistance, and information retrieval.

  • Examples include Siri, Alexa, and Google Assistant.

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Q21. Whats your experience with computer vision?

Ans.

I have extensive experience in computer vision, including object detection, tracking, and image segmentation.

  • Developed a real-time object detection system using YOLOv3

  • Implemented image segmentation using U-Net architecture

  • Worked on tracking multiple objects in a video stream using Kalman filter

  • Used OpenCV and TensorFlow for various computer vision tasks

  • Published research papers on computer vision applications in robotics

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Q22. What is GPT test?

Ans.

GPT test stands for Generalized Procrustes Analysis test.

  • GPT test is a statistical method used to analyze and compare shapes or configurations.

  • It is commonly used in fields such as anthropology, biology, and computer vision.

  • The test aligns and scales multiple shapes to a common reference shape, allowing for shape comparison and analysis.

  • GPT test can be used to study variations in shape, identify patterns, and assess differences between groups.

  • It involves superimposing shapes,...read more

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Q23. What is the Clips Type

Ans.

Clips are devices used to secure wiring harnesses in place and prevent movement or damage.

  • Clips are typically made of plastic or metal and come in various shapes and sizes.

  • They are used to secure wiring harnesses to vehicle body panels, frames, or other components.

  • Clips can be reusable or single-use, depending on the design and application.

  • Examples of clips include push-in clips, screw-in clips, and adhesive-backed clips.

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Q24. Design a QA chatbot

Ans.

A QA chatbot designed to answer questions related to quality assurance processes and best practices.

  • Implement natural language processing to understand user queries

  • Create a knowledge base of QA processes, tools, and methodologies

  • Provide accurate and relevant answers to user questions

  • Offer interactive features like quizzes or tutorials to engage users

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Q25. What is AIV test

Ans.

AIV test stands for Acceptance Inward Verification test.

  • AIV test is performed to verify the quality and functionality of incoming materials or components.

  • It ensures that the received materials meet the specified requirements and standards.

  • The test may involve visual inspection, measurements, functional testing, or other relevant checks.

  • AIV test helps in preventing the use of defective or substandard materials in production.

  • It is an essential part of quality control to maintai...read more

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Q26. What is MIR

Ans.

MIR stands for Medical Incident Report.

  • MIR is a document used in the medical field to report incidents or errors that occur during patient care.

  • It helps in identifying and analyzing the root causes of incidents to prevent future occurrences.

  • MIRs are typically filled out by healthcare professionals involved in the incident, providing details such as date, time, location, individuals involved, and a description of the incident.

  • These reports are confidential and used for interna...read more

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Q27. How do you see the conversational ai field growth in next 5 years

Ans.

Conversational AI field will experience exponential growth in the next 5 years.

  • Increased adoption of chatbots and virtual assistants in various industries

  • Advancements in natural language processing and machine learning

  • Integration with IoT devices and smart homes

  • Rise of voice-based commerce and personalized recommendations

  • Potential for conversational AI to revolutionize customer service and healthcare

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Q28. What tools are used in AI

Ans.

Various tools are used in AI to develop, train, and deploy AI models.

  • Python: Popular programming language for AI development

  • TensorFlow: Open-source library for machine learning

  • PyTorch: Deep learning framework

  • Scikit-learn: Machine learning library

  • Keras: High-level neural networks API

  • Jupyter Notebook: Interactive coding environment

  • Pandas: Data manipulation and analysis library

  • NumPy: Numerical computing library

  • OpenAI Gym: Toolkit for developing and comparing reinforcement learni...read more

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Q29. What is RPA and how do you expect to solve the issues other than RPA if it's not in your skills list?

Ans.

RPA stands for Robotic Process Automation. It is a technology that uses software robots to automate repetitive tasks.

  • RPA can help reduce errors and increase efficiency in tasks such as data entry and report generation.

  • If RPA is not an option, other solutions such as process optimization or manual task delegation may be considered.

  • As a test engineer, I would work with the development team to identify the root cause of any issues and propose appropriate solutions.

  • For example, i...read more

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Q30. Which type of machine handled?

Ans.

I handle various types of machines including forklifts, cranes, and conveyor belts.

  • Forklifts

  • Cranes

  • Conveyor belts

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Q31. What is resolution ?and what is accuracy?

Ans.

Resolution is the smallest distinguishable change in a measurement, while accuracy is how close a measurement is to the true value.

  • Resolution refers to the smallest increment of measurement that can be detected by an instrument.

  • Accuracy refers to how close a measurement is to the true value or accepted standard.

  • Resolution and accuracy are both important factors in determining the quality of a measurement.

  • For example, a ruler with a resolution of 1 millimeter can only measure ...read more

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Q32. What is AI, what do you know about chatbots

Ans.

AI stands for Artificial Intelligence, chatbots are AI-powered programs that simulate conversation with users.

  • AI is the simulation of human intelligence processes by machines, typically computer systems.

  • Chatbots are AI-powered programs that can simulate conversation with users through text or voice.

  • Chatbots are commonly used in customer service, marketing, and other business applications.

  • Examples of chatbots include Siri, Alexa, and customer service chatbots on websites.

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Q33. Explain the steps involved in Document Understanding

Ans.

Document Understanding involves extracting data from unstructured documents using AI and ML techniques.

  • Identify document type and layout

  • Extract data using OCR and NLP techniques

  • Validate and classify data

  • Train machine learning models to improve accuracy

  • Integrate with RPA workflows for automated processing

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Q34. What is a ARDA

Ans.

ARDA stands for Automatic Rescue Device for Elevators. It is a safety feature that helps evacuate passengers in case of power failure or elevator malfunction.

  • ARDA is an emergency system installed in elevators.

  • It is designed to automatically lower the elevator to the nearest floor and open the doors in case of power outage or other emergencies.

  • ARDA ensures the safe evacuation of passengers by providing a backup power source and controlling the elevator's movement.

  • It is a cruci...read more

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Q35. What do you know about Generative AI

Ans.

Generative AI is a type of AI that can create new data, such as images, text, or music, based on patterns it has learned.

  • Generative AI uses algorithms to generate new content that is similar to the training data it has been provided.

  • Examples of generative AI include deep learning models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).

  • Generative AI can be used in various fields such as art, music, and even in creating realistic deepfake videos.

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Q36. Tell me About IQ bot?

Ans.

IQ Bot is an AI-powered cognitive automation solution that can learn from human behavior and perform complex tasks.

  • IQ Bot uses machine learning algorithms to understand and extract data from unstructured documents such as invoices, purchase orders, and receipts.

  • It can also learn from human actions and decisions to improve its accuracy and efficiency over time.

  • IQ Bot can be integrated with other RPA tools to automate end-to-end business processes.

  • Examples of IQ Bot use cases i...read more

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Q37. what is ai and data science

Ans.

AI (Artificial Intelligence) is the simulation of human intelligence processes by machines, while data science is the study of data to extract insights and knowledge.

  • AI involves machines performing tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.

  • Data science involves analyzing and interpreting complex data to make informed decisions and predictions.

  • AI and data science often work together...read more

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Q38. What will be feature of AI and Automation in Analytics

Ans.

AI and Automation in Analytics will enhance data processing, predictive modeling, and decision-making capabilities.

  • AI will automate data collection, cleansing, and processing tasks, saving time and reducing errors.

  • Machine learning algorithms will improve predictive analytics accuracy and efficiency.

  • Automation will streamline report generation and dashboard updates for faster decision-making.

  • AI-powered chatbots can provide real-time insights and recommendations to users.

  • Natura...read more

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Q39. Why AI is beneficial for mobile

Ans.

AI enhances mobile capabilities by providing personalized experiences, predictive insights, and efficient automation.

  • AI-powered chatbots can provide personalized customer service and support.

  • AI algorithms can analyze user behavior and preferences to offer personalized recommendations.

  • AI can automate routine tasks and improve efficiency in mobile app development.

  • AI can enable predictive maintenance and improve performance of mobile devices.

  • AI can enhance mobile security by det...read more

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Q40. What is the Concept of AI

Ans.

AI stands for Artificial Intelligence, which is the simulation of human intelligence processes by machines, especially computer systems.

  • AI involves the development of algorithms that can perform tasks typically requiring human intelligence.

  • It includes machine learning, natural language processing, computer vision, and robotics.

  • Examples of AI applications include virtual assistants like Siri, self-driving cars, and recommendation systems like Netflix's algorithm.

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Q41. What is SMT

Ans.

SMT stands for Surface Mount Technology, a method of electronic component placement on a printed circuit board.

  • SMT components are smaller and lighter than through-hole components.

  • SMT components are placed on the surface of the PCB instead of being inserted through holes.

  • SMT allows for higher component density and faster assembly times.

  • Examples of SMT components include resistors, capacitors, and integrated circuits.

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Q42. What is meant by content moderator

Ans.

A content moderator is responsible for reviewing and monitoring user-generated content to ensure it meets the platform's guidelines.

  • Content moderators review user-generated content such as posts, comments, images, and videos.

  • They ensure that the content meets the platform's guidelines and policies.

  • They may also remove inappropriate or offensive content and report any violations to higher authorities.

  • Examples of platforms that employ content moderators include social media sit...read more

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Q43. Difference between ML, AI, IOT

Ans.

ML is a subset of AI that uses algorithms to learn from data, AI is the broader concept of machines being able to carry out tasks in a smart way, and IoT refers to the network of physical devices connected to the internet.

  • Machine Learning (ML) is a subset of Artificial Intelligence (AI) that focuses on developing algorithms that allow computers to learn from and make predictions or decisions based on data.

  • Artificial Intelligence (AI) is the broader concept of machines being a...read more

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Q44. What is machine degine

Ans.

Machine design is the process of creating machines that perform specific functions efficiently and reliably.

  • Machine design involves identifying the requirements of a machine, conceptualizing its design, and then detailing the design for manufacturing.

  • Factors to consider in machine design include functionality, safety, cost, and ease of maintenance.

  • Examples of machine design include designing a car engine, a conveyor belt system, or a robotic arm.

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Q45. What is AI and it functionality in machine learning?

Ans.

AI is the simulation of human intelligence in machines that can learn and perform tasks without explicit instructions.

  • AI enables machines to learn from data and improve their performance over time

  • Machine learning is a subset of AI that involves training algorithms to make predictions or decisions based on data

  • AI and machine learning are used in various industries such as healthcare, finance, and transportation

  • Examples of AI applications include virtual assistants, image recog...read more

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Q46. What is the difference between Attended and Unattended bots

Ans.

Attended bots require human intervention, while unattended bots can run autonomously.

  • Attended bots require human supervision and interaction during execution

  • Unattended bots can run autonomously without human intervention

  • Attended bots are typically used for tasks that require human decision-making

  • Unattended bots are used for repetitive tasks that can be automated without human involvement

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Q47. What is rpa describe rpa tools

Ans.

RPA stands for Robotic Process Automation, which is the use of software robots to automate repetitive tasks.

  • RPA tools are used to automate manual tasks, improve efficiency, and reduce human error.

  • Popular RPA tools include UiPath, Blue Prism, and Automation Anywhere.

  • RPA tools can be used in various industries such as finance, healthcare, and manufacturing.

  • RPA tools typically involve a combination of artificial intelligence, machine learning, and automation capabilities.

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Q48. What is HAI and there parameters ?

Ans.

HAI stands for Healthcare-Associated Infections. It refers to infections that patients acquire while receiving treatment in healthcare facilities.

  • HAI can be caused by bacteria, viruses, fungi, or other pathogens.

  • The parameters for HAI include the site of infection, the type of pathogen, and the mode of transmission.

  • Examples of HAI include surgical site infections, urinary tract infections, and bloodstream infections.

  • Prevention measures for HAI include hand hygiene, proper use...read more

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Q49. What is the future of artificial intelligence

Ans.

Artificial intelligence is rapidly advancing and has the potential to revolutionize various industries.

  • AI can improve efficiency and accuracy in industries such as healthcare, finance, and transportation

  • AI can also lead to job displacement and ethical concerns

  • Research and development in AI is ongoing and will continue to shape the future

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Q50. Can you explain how an AI recommendation system works?

Ans.

AI recommendation systems use algorithms to analyze user data and provide personalized suggestions.

  • AI recommendation systems collect and analyze user data such as browsing history, preferences, and interactions.

  • They use machine learning algorithms to identify patterns and similarities between users and items.

  • Based on this analysis, the system generates personalized recommendations for users, such as movies, products, or articles.

  • Examples include Netflix recommending movies ba...read more

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Q51. 3. How learning of artificial Intelligence can benefit the society?

Ans.

Learning artificial intelligence can benefit society by improving efficiency, solving complex problems, and enhancing decision-making.

  • AI can automate repetitive tasks, freeing up time for humans to focus on more creative and complex work.

  • AI can analyze large amounts of data quickly and accurately, leading to better insights and decision-making.

  • AI can assist in solving complex problems in various fields such as healthcare, finance, and transportation.

  • AI can improve efficiency ...read more

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Q52. What is FRL

Ans.

FRL stands for Filter, Regulator, and Lubricator. It is a device used in pneumatic systems to clean, regulate, and lubricate compressed air.

  • Filter removes impurities and moisture from compressed air

  • Regulator controls the pressure of compressed air

  • Lubricator adds oil mist to compressed air to lubricate moving parts

  • Used in pneumatic systems for machinery, tools, and equipment

  • Helps to extend the life of pneumatic components and improve their performance

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Q53. What you know about ai

Ans.

AI stands for Artificial Intelligence, which is the simulation of human intelligence in machines.

  • AI involves the development of computer systems that can perform tasks that would typically require human intelligence.

  • It encompasses various subfields such as machine learning, natural language processing, and computer vision.

  • AI is used in various applications like virtual assistants, autonomous vehicles, and recommendation systems.

  • Examples of AI technologies include IBM's Watson...read more

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Q54. Write the artificial intelligence logic in code for your Chess representation

Ans.

AI logic for Chess representation

  • Implement minimax algorithm with alpha-beta pruning

  • Use evaluation function to assign values to board positions

  • Implement move ordering to improve efficiency

  • Use transposition tables to store previously evaluated positions

  • Implement iterative deepening to improve search depth

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Q55. What is detection system

Ans.

A detection system is a system designed to detect and alert individuals of potential hazards or threats in a specific area.

  • Detection systems can include smoke detectors, heat detectors, gas detectors, and motion sensors.

  • These systems are commonly used in buildings, vehicles, and industrial settings to ensure early detection of fires, leaks, or intruders.

  • Once a potential hazard is detected, the system typically triggers an alarm or notification to alert individuals to take app...read more

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Q56. What is CBR how it is performed

Ans.

CBR stands for California Bearing Ratio. It is a test to determine the strength of a soil subgrade or base course.

  • CBR is performed by measuring the pressure required to penetrate a soil sample with a standard piston.

  • The test is conducted by applying loads to the piston and measuring the penetration at each load increment.

  • The CBR value is calculated as the ratio of the measured penetration to the penetration of a standard material.

  • CBR values are used to evaluate the suitabilit...read more

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Q57. Define machine? And its type?

Ans.

A machine is a device that uses energy to perform a specific task. There are various types of machines.

  • Machines are designed to make work easier and more efficient.

  • They can be classified into simple machines, compound machines, and complex machines.

  • Examples of simple machines include levers, pulleys, and inclined planes.

  • Compound machines are made up of two or more simple machines working together, such as a wheelbarrow.

  • Complex machines are made up of many parts and perform mo...read more

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Q58. Do you know about OCR?

Ans.

OCR stands for Optical Character Recognition, a technology used to convert scanned images into editable text.

  • OCR is used to extract text from images or documents

  • It can be used to digitize printed documents

  • OCR technology is used in various industries such as banking, healthcare, and retail

  • Examples of OCR software include Adobe Acrobat, ABBYY FineReader, and Tesseract

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Q59. Do you have experience in sentiment analysis

Ans.

Yes, I have experience in sentiment analysis.

  • I have worked on sentiment analysis projects using natural language processing techniques.

  • I am familiar with tools like NLTK, TextBlob, and VADER for sentiment analysis.

  • I have experience in analyzing social media data to determine sentiment towards a brand or product.

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Q60. what s a robot

Ans.

A robot is a machine capable of carrying out a complex series of actions automatically, especially one programmable by a computer.

  • Robots can be used in various industries such as manufacturing, healthcare, and agriculture.

  • They are often equipped with sensors and actuators to interact with their environment.

  • Robots can be autonomous or controlled remotely by humans.

  • Examples of robots include industrial robotic arms, autonomous drones, and humanoid robots like Pepper.

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Q61. what is intent ?

Ans.

Intent is a messaging object used to request an action from another app component.

  • Intents facilitate communication between components in an app or between different apps.

  • They can be used to start activities, services, and broadcast receivers.

  • Intents can also carry data between components using extras and data URIs.

  • Explicit intents specify the component to start by name, while implicit intents describe the desired action and data type.

  • Examples of intents include opening a web ...read more

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Q62. What are the parameters of chat

Ans.

Chat parameters include message content, sender, receiver, timestamp, and chat history.

  • Message content: The actual text or media being sent in the chat

  • Sender: The person or entity sending the message

  • Receiver: The person or entity receiving the message

  • Timestamp: The date and time when the message was sent

  • Chat history: Previous messages exchanged between sender and receiver

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Q63. How to design a NLP engine?

Ans.

Designing a NLP engine involves defining the problem, selecting appropriate algorithms, and training the model.

  • Define the problem and identify the data sources

  • Select appropriate algorithms for tasks such as tokenization, part-of-speech tagging, and named entity recognition

  • Train the model using labeled data and evaluate its performance

  • Continuously improve the model by incorporating feedback and updating the algorithms

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Q64. What is the role of robot in human life

Ans.

Robots play a significant role in human life by performing tasks that are dangerous, repetitive, or impossible for humans.

  • Robots can be used in manufacturing to increase efficiency and reduce human error.

  • Robots can be used in healthcare to perform surgeries and assist with patient care.

  • Robots can be used in exploration to gather data in environments that are too dangerous for humans.

  • Robots can be used in agriculture to automate tasks such as planting and harvesting crops.

  • Robo...read more

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Q65. What are tools used in machine

Ans.

Tools used in machine include wrenches, screwdrivers, pliers, hammers, and power tools.

  • Wrenches are used to tighten or loosen nuts and bolts.

  • Screwdrivers are used to tighten or loosen screws.

  • Pliers are used for gripping and manipulating objects.

  • Hammers are used for driving nails or breaking objects.

  • Power tools like drills, saws, and grinders are used for various tasks.

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Q66. Tell me about RRT AND Resolution

Ans.

RRT (Relative Retention Time) and Resolution are important concepts in chromatography.

  • RRT (Relative Retention Time) is the ratio of the retention time of a compound to the retention time of a reference compound.

  • RRT helps in identifying and comparing compounds in different chromatographic systems.

  • Resolution is a measure of how well two adjacent peaks are separated in a chromatogram.

  • Resolution is calculated by dividing the difference in retention times of two peaks by the sum o...read more

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Q67. What is Image segmentation?

Ans.

Image segmentation is the process of dividing an image into multiple segments or regions.

  • It is used in computer vision to identify and separate objects or regions of interest in an image.

  • It can be done using various techniques such as thresholding, clustering, edge detection, and region growing.

  • Applications include object recognition, medical imaging, and autonomous vehicles.

  • Examples include separating the foreground and background in an image, identifying tumors in medical i...read more

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Q68. How to use AI coding?

Ans.

AI coding can be used in fashion design for tasks like trend analysis, virtual prototyping, and personalized recommendations.

  • AI coding can analyze large amounts of data to identify fashion trends and predict future trends.

  • AI coding can be used to create virtual prototypes, allowing designers to visualize and test their designs before production.

  • AI coding can personalize recommendations for customers based on their preferences and past purchases.

  • AI coding can automate repetiti...read more

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Q69. Explain the mathematics involved in recognising speech data

Ans.

Mathematics involved in recognizing speech data

  • Speech recognition involves statistical modeling and pattern recognition techniques

  • Mathematical algorithms are used to convert speech signals into digital representations

  • Signal processing techniques like Fourier analysis and wavelet transforms are used

  • Hidden Markov Models (HMMs) are commonly used for speech recognition

  • Statistical language models are used to improve recognition accuracy

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Q70. Do you have experience with AI?

Ans.

Yes, I have experience with AI through coursework and personal projects.

  • Studied AI algorithms and techniques in university courses

  • Implemented machine learning models for personal projects

  • Used AI libraries like TensorFlow and scikit-learn

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Q71. How will you design a solution considering AI and Safety?

Ans.

Designing a solution with AI and Safety involves implementing robust algorithms, thorough testing, and continuous monitoring.

  • Implement robust AI algorithms that prioritize safety and ethical considerations.

  • Conduct thorough testing to ensure the AI system behaves predictably and safely in all scenarios.

  • Implement fail-safe mechanisms to prevent AI from making harmful decisions.

  • Utilize real-time monitoring and feedback loops to continuously assess and improve the AI system's saf...read more

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Q72. what is ds, ml, ai

Ans.

DS stands for Data Science, ML stands for Machine Learning, and AI stands for Artificial Intelligence.

  • Data Science (DS) involves extracting insights and knowledge from data.

  • Machine Learning (ML) is a subset of AI that allows systems to learn and improve from experience.

  • Artificial Intelligence (AI) is the simulation of human intelligence processes by machines.

  • Example: Using data science to analyze customer behavior, implementing machine learning algorithms for predictive analy...read more

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Q73. What are your views about AI's impact on data analysis?

Ans.

AI has revolutionized data analysis by enabling faster and more accurate insights.

  • AI has significantly improved the speed and accuracy of data analysis processes.

  • AI algorithms can handle large volumes of data much more efficiently than humans.

  • AI can identify patterns and trends in data that may not be immediately apparent to human analysts.

  • AI-powered tools like machine learning models can make predictions and recommendations based on data analysis.

  • AI can automate repetitive t...read more

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Q74. How would you handle an IR problem?

Ans.

I would address the issue by listening to the concerns of both parties and finding a mutually beneficial solution.

  • Listen to both parties involved in the issue

  • Identify the root cause of the problem

  • Communicate effectively with all parties involved

  • Find a mutually beneficial solution

  • Ensure that the solution is in compliance with company policies and regulations

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Q75. What AI products are out there from Microsoft?

Ans.

Microsoft offers various AI products such as Azure Cognitive Services, Azure Machine Learning, and Microsoft Bot Framework.

  • Azure Cognitive Services provides pre-built AI models for vision, speech, language, and decision-making capabilities.

  • Azure Machine Learning enables data scientists to build, train, and deploy machine learning models.

  • Microsoft Bot Framework allows developers to build conversational AI experiences for various channels.

  • Examples include Azure Computer Vision,...read more

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Q76. What are the challenges mankind has to face because of AI?

Ans.

AI poses challenges such as job displacement, bias, privacy concerns, and ethical dilemmas.

  • Job displacement due to automation and AI replacing human labor

  • Bias in AI algorithms leading to discrimination and perpetuating societal inequalities

  • Privacy concerns with the collection and use of personal data by AI systems

  • Ethical dilemmas such as the use of AI in warfare and decision-making

  • Lack of transparency and accountability in AI decision-making processes

  • Potential for AI to be us...read more

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Q77. What is Alexa and How to train alexa

Ans.

Alexa is a virtual assistant developed by Amazon that uses voice recognition technology to perform tasks and provide information.

  • Alexa can be trained by creating custom skills using the Alexa Skills Kit (ASK)

  • Developers can use ASK to define the interaction model, handle requests, and provide responses

  • Training Alexa involves creating intents, utterances, and slots to understand user input and generate appropriate responses

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Q78. Tell me about machine learning and its algor

Ans.

Machine learning is a subset of artificial intelligence that involves training algorithms to make predictions or decisions based on data.

  • Machine learning algorithms can be supervised, unsupervised, or semi-supervised

  • Supervised learning involves training a model on labeled data to make predictions on new, unseen data

  • Unsupervised learning involves finding patterns in unlabeled data

  • Semi-supervised learning involves a combination of labeled and unlabeled data

  • Examples of machine l...read more

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Q79. What do you mean by AML

Ans.

AML stands for Anti-Money Laundering, which refers to the laws and regulations designed to prevent criminals from disguising illegally obtained funds as legitimate income.

  • AML laws require financial institutions to monitor customer transactions and report any suspicious activity to authorities.

  • Examples of suspicious activities include large cash deposits, frequent international wire transfers, and transactions involving high-risk countries.

  • Compliance with AML regulations is cr...read more

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Q80. What is AI how you implement AI in your project

Ans.

AI stands for Artificial Intelligence, which involves creating intelligent machines that can simulate human behavior and thinking.

  • AI is implemented in projects through machine learning algorithms like neural networks, decision trees, and support vector machines.

  • Natural language processing and computer vision are common AI techniques used in projects.

  • AI can be used in recommendation systems, chatbots, autonomous vehicles, and more.

  • Example: Implementing a chatbot using natural ...read more

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Q81. Why do you think AI is necessary in maps

Ans.

AI is necessary in maps for real-time updates, personalized recommendations, and efficient route planning.

  • Real-time updates: AI can analyze traffic patterns and provide real-time updates to help users avoid congestion.

  • Personalized recommendations: AI can analyze user preferences and behavior to provide personalized recommendations for restaurants, attractions, etc.

  • Efficient route planning: AI can optimize routes based on traffic, weather, and other factors to help users reach...read more

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Q82. How is AI work and it's advantage and disadvantage

Ans.

AI work involves using algorithms to simulate human intelligence and decision-making. It has advantages and disadvantages.

  • Advantages of AI include increased efficiency, accuracy, and productivity in various industries such as healthcare, finance, and manufacturing.

  • Disadvantages of AI include job displacement, bias in decision-making, and potential misuse of AI technology.

  • AI can be used to analyze medical data and assist in diagnosis and treatment, making it beneficial in the ...read more

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Q83. Give your insights of AI

Ans.

AI refers to the simulation of human intelligence processes by machines, especially computer systems.

  • AI can be used for data analysis and pattern recognition

  • AI can automate repetitive tasks and improve efficiency

  • AI can be used in various industries such as healthcare, finance, and marketing

  • Examples of AI include virtual assistants like Siri and Alexa, self-driving cars, and recommendation systems like Netflix

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Q84. What is ai and what are its features

Ans.

AI stands for artificial intelligence, which is the simulation of human intelligence processes by machines.

  • AI involves machines performing tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.

  • AI systems can learn from data, adapt to new inputs, and perform tasks autonomously.

  • Examples of AI include virtual assistants like Siri and Alexa, self-driving cars, and recommendation systems like those...read more

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Q85. What is chatgpt and how it works

Ans.

ChatGPT is a chatbot powered by OpenAI's GPT-3 model, designed to engage in natural language conversations with users.

  • ChatGPT is a chatbot developed by OpenAI using their GPT-3 language model

  • It can engage in natural language conversations with users, providing responses based on the input it receives

  • ChatGPT can be used for various purposes such as customer support, content generation, and more

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Q86. What is your understanding of ai

Ans.

AI refers to the simulation of human intelligence processes by machines, especially computer systems.

  • AI involves the development of algorithms that enable machines to perform tasks that typically require human intelligence.

  • Examples of AI include speech recognition, image recognition, natural language processing, and autonomous vehicles.

  • AI can be categorized into narrow AI (focused on a specific task) and general AI (able to perform any intellectual task that a human can).

  • Mach...read more

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Q87. How would you make a chatbot? Explain with a flow

Ans.

To make a chatbot, you need to design the conversation flow, integrate natural language processing, and train the bot with relevant data.

  • Design the conversation flow with a clear structure and user-friendly interface

  • Integrate natural language processing to understand user inputs and generate appropriate responses

  • Train the chatbot with relevant data to improve accuracy and effectiveness

  • Implement features like sentiment analysis, entity recognition, and context awareness for be...read more

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Q88. What is ML and itโ€™s basic concepts

Ans.

ML stands for Machine Learning, a subset of artificial intelligence that focuses on the development of algorithms and models that allow computers to learn from and make predictions or decisions based on data.

  • ML involves training algorithms to learn patterns and make predictions or decisions without being explicitly programmed.

  • Basic concepts include supervised learning, unsupervised learning, and reinforcement learning.

  • Examples of ML applications include image recognition, nat...read more

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Q89. What do you know about IoT and AI?

Ans.

IoT stands for Internet of Things, which refers to the network of physical devices connected to the internet. AI stands for Artificial Intelligence, which involves machines simulating human intelligence.

  • IoT involves connecting everyday objects to the internet to collect and share data, enabling automation and remote control.

  • AI involves machines performing tasks that typically require human intelligence, such as learning, problem-solving, and decision-making.

  • Examples of IoT de...read more

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Q90. What are capsules and it's types

Ans.

Capsules are a type of medication dosage form that contains medicine in a gelatin shell.

  • Capsules can be either hard or soft depending on the type of gelatin used.

  • They can be filled with either powder, liquid, or pellets.

  • Capsules can be used for oral or topical administration.

  • Examples of capsule medications include ibuprofen, amoxicillin, and vitamin E.

  • There are also specialized capsules such as enteric-coated capsules and sustained-release capsules.

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Q91. What is your view on the industry with the advent of Gen AI and Blockchain?

Ans.

Gen AI and Blockchain are revolutionizing the industry by enhancing automation, security, and transparency.

  • Gen AI is transforming data analysis and decision-making processes through advanced algorithms and machine learning.

  • Blockchain technology is revolutionizing data security and transparency by creating decentralized and immutable ledgers.

  • The combination of Gen AI and Blockchain is leading to more efficient and secure business operations across various industries.

  • For exampl...read more

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Q92. What is your long term goal in field of AI/ML?

Ans.

My long term goal in the field of AI/ML is to develop innovative solutions that can positively impact society and improve people's lives.

  • Continuously learning and staying updated with the latest advancements in AI/ML technologies

  • Collaborating with experts in the field to work on cutting-edge projects

  • Applying AI/ML techniques to solve complex real-world problems

  • Contributing to research and publications in the field of AI/ML

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Q93. What are usage of artificial intelligence in the process industry?

Ans.

Artificial intelligence is used in the process industry for optimizing operations, predictive maintenance, and quality control.

  • Optimizing operations: AI algorithms can analyze large amounts of data to identify inefficiencies and suggest improvements in production processes.

  • Predictive maintenance: AI can analyze sensor data to predict equipment failures and schedule maintenance before breakdowns occur, reducing downtime and costs.

  • Quality control: AI can analyze data from senso...read more

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Q94. Chatgpt full form

Ans.

Chatgpt stands for Chat Generative Pre-trained Transformer

  • Chatgpt is a language model developed by OpenAI

  • It is based on the Transformer architecture

  • Chatgpt is used for generating human-like text responses in conversational settings

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Q95. What is Classification

Ans.

Classification is the process of categorizing data or information based on certain criteria.

  • It involves grouping similar items together.

  • It helps in organizing and managing data effectively.

  • Examples include classifying emails as spam or not spam, or categorizing documents based on their content.

  • Classification can also be used in machine learning to train models to recognize patterns and make predictions.

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Q96. What is your background knowledge on Image Processing and Machine Learning?

Ans.

I have a strong background in both Image Processing and Machine Learning.

  • I have completed several courses on Image Processing and Machine Learning during my undergraduate studies.

  • I have hands-on experience with various image processing techniques such as filtering, segmentation, and feature extraction.

  • I have implemented machine learning algorithms for image classification and object detection tasks.

  • I have worked on projects where I used deep learning models like convolutional...read more

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Q97. What are your idea about ai

Ans.

AI has the potential to revolutionize industries by automating tasks, improving efficiency, and enabling new capabilities.

  • AI can be used for predictive analytics to forecast trends and make data-driven decisions.

  • Machine learning algorithms can be trained to recognize patterns and make recommendations.

  • Natural language processing allows AI to understand and generate human language.

  • AI-powered chatbots can provide customer service and support around the clock.

  • Computer vision enab...read more

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Q98. How to shortlist vendors and tools for AI ML

Ans.

Shortlist vendors and tools for AI ML by evaluating their capabilities, compatibility, and cost-effectiveness.

  • Identify the specific AI/ML needs and goals of the organization

  • Research and compare vendors and tools based on their capabilities and features

  • Evaluate compatibility with existing systems and infrastructure

  • Consider the cost-effectiveness of each option

  • Check for vendor reputation and customer reviews

  • Perform a proof of concept or trial before finalizing the selection

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Q99. What do you know about Google assistant?

Ans.

Google Assistant is a virtual assistant developed by Google that can engage in two-way conversations, answer questions, make recommendations, and perform tasks.

  • Google Assistant is available on various devices such as smartphones, smart speakers, and smart displays.

  • It can help users with tasks like setting reminders, sending messages, playing music, and controlling smart home devices.

  • Google Assistant uses artificial intelligence and natural language processing to understand an...read more

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Q100. What is the future with AI in the lead?

Ans.

AI is expected to play a significant role in various industries, revolutionizing processes and decision-making.

  • AI will continue to enhance automation and efficiency in various industries such as healthcare, finance, and manufacturing.

  • AI will enable personalized customer experiences through data analysis and predictive modeling.

  • AI will drive innovation in areas like autonomous vehicles, robotics, and natural language processing.

  • AI ethics and regulations will become increasingl...read more

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