What are different types of RAG and how did you improve your RAG(in my project).
Ml Engineer Interview Questions
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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.
1. Transformer models architecture 2. Langchain 3. Model deployment
Asked for my salary expectations but didn't tell the salary range. Asked to count years and months of each role on my CV and add it.
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He gave me a log string and asked me to do some manipulations on it. The string was really bad and I had difficulty in doing.
These are confidential. But they were very generic DS ALGO question and basic Data Science Questions related to Statistics and Machine Learning, pretty easy I must say.
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