LLMs Practical Guide is a curated resource collection that organizes practical guidance, examples, and research papers for working with large language models.
The project addresses the challenge of navigating the rapidly expanding landscape of large language models and their applications in natural language processing. It provides a structured collection of resources grounded in a survey paper on ChatGPT and related models, including an evolutionary tree that traces the development of modern language models. The guide also documents usage restrictions and licensing information for different models, helping practitioners understand commercial and research applicability constraints.
This resource suits teams and individuals building with large language models who need to understand the practical landscape quickly. It works best for those evaluating which models to adopt, understanding model lineage and relationships, and checking licensing constraints before deployment. The guide is particularly valuable for practitioners seeking to avoid common pitfalls in LLM adoption and wanting to understand which models perform well on specific tasks.
The project maintains active curation with regular updates to the model tree and resource listings. The maintainers have released source files for the model evolution visualizations to enable community refinement. The guide welcomes pull requests to improve and expand its coverage of the LLM ecosystem.
