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Coders In Hoods

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Course overview

LLMs for Engineers

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1 · Inside the transformer

1Tokens and embeddings
Exercise answers
- Answer: Implement and stress-test a byte-level BPE tokenizer
- Answer: Probe embedding geometry
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

CapstoneChoose a model for document extraction Reference implementation

Answers Lesson 1: Tokens and embeddings

Step-by-step answer

Stretch 45 min6 steps

Probe embedding geometry

Back to the exercise

Previous answerImplement and stress-test a byte-level BPE tokenizer Next answer Implement attention and verify it against PyTorch

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