Asked in depth knowledge of LLMs (transformers) since my project was on LLM. also asked probablity, statistics questions.
Ai Developer Technology 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.
Tell me about the time when you used finetuning for LLM models. How is LoRA different than QLoRA? Etc.
What is a dictonary used for, and is it mutible?
Why leaving your current company?
Past experiences and statistical questions
What were projects that I worked on, what technologies I used and what I learned from working those projects.
Based on our job posting and company overview, what specifically interests you about the opportunity to work at AI Venture Lab and contribute to the development of a voice synthesis solution?
In which cloud your worked with and what did you use in it. Explain
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