1. What is support vector in SVM? 2. Explain KNN , How do you model it ? 3. Do you train KNN ? 4 . What is 300B Parameter in LLM ? 5. What are the types of libraries worked on NLP ? 6. explain RAG ? 7. What is the difference between deep learning and Machine Learning 8. What is CNN ? 9. What is stemming and Lemmatization ? and which would you prefer? 10. Lets say that a persons chooses stemming over lemmatization what might be the reason ? 11. Why do you use LLM model if you can fetch the required documents from vector database in RAG Approach ? 10.
