Multi-part collections ordered for guided reading.
Start with what fine-tuning means, then learn full tuning, adapters, LoRA, QLoRA, supervised instruction tuning, and preference tuning through ten clear articles, numerical examples, diagrams, and Python notebooks.
Eight project-based articles for developers who know basic Python. Build routing, retrieval, persistent human approval, retries, an optional local LLM, and a tested final application. Every part includes a downloadable code ZIP.
A guided series on optimization techniques for machine learning.
