Calsoft
Meta Company Interview Questions and Answers
Q1. 1. What is Virtualization 2. What is Vmotion 3. What is Hypervisor and its type 4. Steps to create VM 5. Diff between Thin & Thik VM provision 6. VM Template and Cloning 7. What is VM Snapshot 8. What is Active...
read moreQ2. Different Process of LLM GPT, RAG Chatbot and Multi AGentic RAG , Statistics-What is Oulier , How it affects Mean , Median
Outliers are data points that significantly differ from the rest of the data, affecting mean, median, and mode.
Outliers are extreme values in a dataset that do not follow the general trend of the data.
Outliers can skew the mean towards their value, making it an inaccurate representation of the central tendency.
Outliers have little to no effect on the median, as it is not influenced by extreme values.
Outliers can affect the mode by creating a multimodal distribution or shiftin...read more
Q3. What is Frreezing of Model ? How to prevent the model from Freezing
Freezing of model refers to fixing the weights of certain layers during training to prevent further updates.
Freezing certain layers means their weights will not be updated during training
Helps in transfer learning by keeping pre-trained layers intact
Prevents overfitting on small datasets
To prevent freezing, only freeze layers that are already trained on similar data
Use a lower learning rate for frozen layers to prevent drastic changes
Q4. Differane between RAG Chatbot Model and Nulti Agentic RAG Model
RAG Chatbot Model is a single-agent model while Multi-Agentic RAG Model involves multiple agents collaborating.
RAG Chatbot Model uses a single agent to generate responses to user queries.
Multi-Agentic RAG Model involves multiple agents working together to provide more diverse and accurate responses.
In RAG Chatbot Model, the agent is responsible for both retrieving and generating responses.
In Multi-Agentic RAG Model, different agents specialize in either retrieval or generatio...read more
Q5. Print the number of possible combinations of character like abc CBA BCA
Q6. Architect of RAG Chatbot and Multi Agentic RAG , ,
RAG Chatbot and Multi Agentic RAG are architectures used for building conversational AI systems.
RAG Chatbot is a retrieval-augmented generation model that combines retrieval-based and generation-based approaches in chatbots.
Multi Agentic RAG extends RAG Chatbot to support multiple agents collaborating in a conversation.
These architectures improve the performance and flexibility of conversational AI systems.
Example: RAG Chatbot can retrieve relevant information from a knowledg...read more
Q7. What is responsibel AI
Responsible AI refers to the ethical and fair use of artificial intelligence technologies.
Responsible AI involves ensuring transparency in AI decision-making processes.
It also includes addressing bias in AI algorithms to prevent discrimination.
Responsible AI requires accountability for the outcomes of AI systems.
Companies and organizations should prioritize ethical considerations when developing AI technologies.
Examples include implementing diverse datasets to reduce bias and...read more
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