#496 · Primary category: Education & Research
start-llms
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.
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