← Back to LLMs overview

Hand-written tutorials, ordered as a recommended learning path.

1. 41 Transformers Walk through the transformer architecture that powers modern LLMs: tokens, embeddings, self-attention, multi-head attention, feed-forward layers, residuals, and the path from input to output. 5 min read →
2. 42 Anthropic SDK A practical tour of the Anthropic Python SDK: messages, streaming, tool use, prompt caching, and patterns for shipping Claude in production. 4 min read →
3. 43 LangChain Basics Learn LangChain by building real components in Python: prompt templates, chains, tool calling, and memory. Practical patterns you can ship today. 4 min read →
4. 44 Embeddings API A practical tutorial on text embeddings: vector intuition, calling an embeddings API, choosing dimensions, computing cosine similarity, and caching the results. 7 min read →
5. 45 OpenAI Python SDK A working tour of the OpenAI Python SDK: chat completions, streaming, structured output, embeddings, tool calls, and production-grade error handling. 4 min read →