What are decision trees and random forest
Ml Engineer Interview Questions
2,760 ml engineer interview questions shared by candidates
What is NER and how to custom train a NER model
What are different types of RAG and how did you improve your RAG(in my project).
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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