16 repos
Practical guides, tutorials, and implementations for working with large language models across Python and Jupyter notebooks. Repositories cover LLM fundamentals, fine-tuning techniques, prompt engineering, and real-world applications ranging from basic model interaction to advanced deployment strategies. The cluster includes both educational materials (A-to-Z guides) and project-based learning resources that help practitioners understand and build with modern LLMs.