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LLMs for Engineers

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1 · Inside the transformer

1Tokens and embeddings
2Attention, step by step
Exercise answers
- Answer: Implement attention and verify it against PyTorch
- Answer: Find an induction head in GPT-2
3The transformer block

2 · How models are trained

4Pretraining and scaling laws
5Post-training an assistant

3 · Running models in production

6Sampling and hallucination
7Context windows, KV cache and caching
8Reasoning models and extended thinking
9Choosing and comparing models

CapstoneChoose a model for document extraction Reference implementation

Answers Lesson 2: Attention, step by step

Step-by-step answer

Core 60 min7 steps

Implement attention and verify it against PyTorch

Back to the exercise

Previous answerProbe embedding geometry Next answer Find an induction head in GPT-2

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