Technical Assessment (20 minutes) LeetCode Question: Longest Palindromic Substring Coding live where the interviewer can see your code on a shared editor. Discussion and Questions (40 minutes) Self-Introduction Project Discussion: Explain a project related to LLM LLM Creation: How is a Large Language Model created? Model Architectures: Explain the different models and their architectures (e.g., GPT, LLAMA, Falcon, BLOOM) Positional Embeddings: What is the purpose of positional embeddings? Normalization Techniques: Difference between BatchNorm and LayerNorm Retrieval-Augmented Generation (RAG): - What is RAG? Explain its purpose. - Even if you use RAG, there are hallucinations occurring. Why is this so and what can you do to mitigate? - What other current academic advancements in RAG? Explain about some frameworks that are trending. Scenario Question: If we have large-scale data (billions of records) from the web, how can I efficiently select math-related data? Discuss using distributed computing frameworks if possible.
Algorithm Developer Interview Questions
880 algorithm developer interview questions shared by candidates
RLS, LMS difference
5)write program to read data from text file.
Most about skills & experiences you have.
Technical questions were targeting basic understanding of neural networks, general problem solving ability and there were also some questions about object-oriented design.
Technical questions about previous deep learning projects in the CV
Q: what is your technical background?
They asked me to solve a classical mechanics physics problem
Past experience questions and why you would like to work with them.
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