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LLM stands for Language Model. Fine tuning involves adjusting hyperparameters and training on specific data.
LLM stands for Language Model, which is a type of AI model that predicts the next word in a sentence.
Fine tuning LLM involves adjusting hyperparameters such as learning rate, batch size, and number of training epochs.
Fine tuning also involves training the LLM on specific data related to the task at hand, such as ...
RAG stands for Red, Amber, Green and is a project management tool used to visually indicate the status of tasks or projects.
RAG is commonly used in project management to quickly communicate the status of tasks or projects.
Red typically indicates tasks or projects that are behind schedule or at risk, Amber indicates tasks that are on track but may need attention, and Green indicates tasks that are on schedule or complet...
I applied via Referral and was interviewed in Feb 2024. There were 2 interview rounds.
Drop deletes the table structure and data, while truncate only deletes the data.
Drop is a DDL (Data Definition Language) command, while truncate is a DML (Data Manipulation Language) command.
Drop removes the table from the database, while truncate only removes the rows from the table.
Drop is slower and requires more permissions than truncate.
Example: DROP TABLE table_name; TRUNCATE TABLE table_name;
I am switching to non-core because I want to explore new opportunities and challenges outside of my current field.
Seeking new challenges and opportunities
Exploring different industries and roles
Developing new skills and gaining diverse experience
I am looking for a competitive salary that reflects my skills and experience in the data analysis field.
Research the average salary for Data Analysts in your area to have a realistic expectation
Consider your level of experience, education, and any specialized skills you bring to the table
Be prepared to negotiate based on the company's budget and benefits package
I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.
SQL, excel, tableau , looker studio
I applied via Naukri.com and was interviewed in Nov 2024. There were 2 interview rounds.
SQL -- LeetCode style questions Medium lvl
One can help with eshopbox by analyzing data to improve customer experience and optimize sales.
Conduct data analysis to identify trends and patterns in customer behavior
Use data to personalize marketing strategies and recommend products to customers
Optimize website layout and user experience based on data insights
Implement data-driven pricing strategies to maximize sales and profits
posted on 2 Jun 2023
I applied via Campus Placement and was interviewed in Dec 2022. There were 4 interview rounds.
2 questions dsa based
Ml, nlp, python, sql, random forest
posted on 15 Aug 2024
I appeared for an interview in Jul 2024.
I have used various machine learning algorithms including linear regression, decision trees, random forests, support vector machines, and neural networks.
Linear Regression
Decision Trees
Random Forests
Support Vector Machines
Neural Networks
Defect detection based on IV reading
based on 1 interview
Interview experience
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