Asked in depth knowledge of LLMs (transformers) since my project was on LLM. also asked probablity, statistics questions.
Ml Engineer Interview Questions
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Most of the questions were asked related to basic AI/ML concepts like Gen AI, RAG, Langchain etc. And some questions from the tools and techniques mentioned in our resume.
1. The difference between instance, semantic and panoptic segmentation; how do we decide which is the best strategy for a given set of images and classes? 2. Working of RCNN-family of segmentation models. 3. Generic questions on some computer vision concepts: CNNs, interpretability of feature spaces, self-supervised representation learning, etc.
Mostly Resume Based Questions like what technology used etc
Some of the Machine Learning fundamentals in detail
Describe how you would approach an NLP solution
Tell me about the time when you used finetuning for LLM models. How is LoRA different than QLoRA? Etc.
Why leaving your current company?
What is intelligence and how do you interpret this?
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