Technical questions.
Modeler Interview Questions
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What is my previous experience in catastrophe modeling?
The company took on a by-pass project, what would you consider when working on it?
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.
Can you write down the formula for the Markov property?
General, what do you know about credit risk modeling in the bank and the ECB and Basel regulations on it?
Could you tell us a bit about yourself?
What is the spatial model you use?
How bridge piers would affect flow on a river and how this impacts flood risk?
Q: Imagine that you have been assigned to a project that is behind schedule, what initial action would you take to fix this?
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