Typical stuff like describe a time you worked on a project with others, etc.
Model Interview Questions
2,583 model interview questions shared by candidates
They asked about my projects and experience in detail which I answered.
derive BS formula
Parlami del filtro di kalman
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.
Questions like my technical background, teamwork experience were asked
What is my previous experience in catastrophe modeling?
Tell me about yourself, and why do you want to work with Deloitte
Where do you see yourself at EY
Why Revolut? What is your inspiration?
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