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Course overview

LLMs for Engineers

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1 · Inside the transformer

1Tokens and embeddings
2Attention, step by step
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
Exercise answers
- Answer: Run a model bake-off on title-register extraction
- Answer: Add an open-weight model to the bake-off

CapstoneChoose a model for document extraction Reference implementation

Answers Lesson 9: Choosing and comparing models

Step-by-step answer

Stretch 60 min7 steps

Add an open-weight model to the bake-off

Back to the exercise

Previous answerRun a model bake-off on title-register extraction Next answer Capstone: Choose a model for document extraction

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