#496 · Primary category: Education & Research

start-llms

ai fine-tuning gpt gpt-4 language-model large-language-models llama llm llms rag retrieval-augmented-generation

A complete guide to start and improve your LLM skills in 2026 with little background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

Project last updated:01/23/26

GitHub Stars

981

Forks

127

Contributors

1

License

MIT

Why we included this project

For developers with a bit of programming experience but no clear path into LLMs, this repo collects many of the field's best free learning resources into one place. It's organized as a loose progression, starting with videos on transformers and embeddings, moving into books and courses, and finishing with hands-on practice in prompting and fine-tuning, plus retrieval-augmented generation, though you're free to skip around. Dedicated sections on AI ethics and finding machine-learning work address topics most similar lists ignore, and the news and community links help you stay current. Since every pick is a human recommendation rather than generated content, it's a trustworthy starting point for students, developers, and small teams mapping out an LLM learning path. One caveat: this is a curated guide, not installable software, so treat it as a syllabus to follow, not a tool to deploy.

Articles for this project

No articles for this project yet.

To suggest a topic or contribute an article, contact us.

Related projects in this category