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Interview questions by company and topic | SysRound

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33 questions

Showing 26–33

Machine learningMedium
Implement Multi-Head Attention from Tensor Operations
Companies: ByteDance
ML Coding · Transformers & Attention
Open workspace
Machine learningMedium
Implement Multi-Head Self-Attention
Companies: Uber
ML Coding · Transformers & Attention
Open workspace
Machine learningMedium
Implement Stable Sigmoid, Softmax, and Scaled Dot-Product Attention
Companies: Amazon
ML Coding · Transformers & Attention
Open workspace

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Machine learningEasy

LLM Foundations: Architecture, Adaptation, and Steering

Companies: Google

Fine-Tuning & Alignment Techniques · Transformers & Attention

Machine learningMedium

Review a Compact GPT-Style Transformer Implementation

Companies: Mercor

ML Coding · Transformers & Attention

Machine learningHard

Self-Attention: Implementation, Complexity, and Efficient Variants

Companies: Meta

ML Coding · Transformers & Attention

Machine learningMedium

Transformer Complexity, Inference Optimization, GQA and FlashAttention

Companies: LinkedIn

LLM Inference & Serving · Transformers & Attention

Machine learningMedium

Why do transformers struggle with long context?

Companies: Dandy

LLM Inference & Serving · Transformers & Attention