nndl/llm-beginner
A six-task hands-on tutorial series for learning LLMs and AI agents, covering transformers, mini-GPT, fine-tuning, RAG, tool-calling, and coding agents.
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This repository provides an independent beginner tutorial series for learning large language models and intelligent agents. The curriculum follows six progressive tasks: understanding Transformers, implementing a mini-GPT from scratch, instruction tuning and alignment, RAG systems, tool-calling agents, and mini coding agents. The tech stack aligns with 2025-2026 mainstream standards using Python, with Qwen series models throughout and support for consumer GPUs.