What is RAG? Why are documents divided into chunks in RAG? What is Under fitting & Over fitting? What is Binary search? What is Inheritence, Encapsulation & Abstraction?

Mostly Resume Based Questions like what technology used etc

Very nice experience! Questions on 1. ML Algorithms - Linear Regression, knn, similarity search 2. Python - prime numbers, fibonacci, Merge Sort 3. SQL - basic 4. API 5. Generative AI assignment, (Chat with Images), deploying on huggingface 6. EDA assignment on data 7. Basics Questions of Data Science/ML like what is mean, median, mode etc. 8. What is deep learning, how many layers in CNN, RNN, what is learning rate and it's value 9. aware of gpt, bert, gemini models? (Problem Solving Matters)