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Why do you want to work for qunitiq was the question in first round( telephone), the person who was supposed to interview did not come twice, very unprofessional people. even after answering all the questions they said they are not considering me. The person who interview me did not have much knowledge in Optimization.
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Optimization and Algorithms Expert

Interviewed at Dassault Systèmes

3.9★
Mar 16, 2017

Why do you want to work for qunitiq was the question in first round( telephone), the person who was supposed to interview did not come twice, very unprofessional people. even after answering all the questions they said they are not considering me. The person who interview me did not have much knowledge in Optimization.

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.
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Algorithm Engineer, Large Language Model

Interviewed at Shopee

3.7★
Nov 5, 2024

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.

-Wie würden Sie physikalisch ein Lithographiesystem modellieren? -Welche Fehlerquellen hat so ein Aufbau? -Welches Modell verwenden Sie für die Modellierung der Reflektion des Lasers an der Fotomaske? -Mit welchem Verfahren lösen Sie das Problem numerisch? -Welche Erfahrungen haben Sie mit CUDA?
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Software Developer/Algorithm Engineer

Interviewed at ZEISS Group

4★
Jul 1, 2022

-Wie würden Sie physikalisch ein Lithographiesystem modellieren? -Welche Fehlerquellen hat so ein Aufbau? -Welches Modell verwenden Sie für die Modellierung der Reflektion des Lasers an der Fotomaske? -Mit welchem Verfahren lösen Sie das Problem numerisch? -Welche Erfahrungen haben Sie mit CUDA?

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