Asked about I time where I had to learn something quickly and adapt it to a problem
Modelo Interview Questions
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Parlami del filtro di kalman
There wasn’t a single question—throughout the process, I had multiple interviews and discussions with different people, covering a wide range of topics.
derive BS formula
Questions like my technical background, teamwork experience were asked
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?
What led you to apply to Galderma?
Statisticals questions
Why Revolut? What is your inspiration?
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