HuggingLLM is an educational resource that teaches how to use large language model APIs to build applications and services.
The project addresses the challenge of making large language model technology accessible to people outside specialized AI backgrounds. Rather than focusing on training models from scratch or understanding underlying algorithms, it teaches practical application development using existing APIs. The approach centers on how to leverage ChatGPT-related APIs and domestic Chinese language model APIs to create new functionality, with emphasis on system design, background context, and working code examples.
The tool is designed for people interested in ChatGPT who want to apply the technology to create new services or solve existing problems and have some programming foundation. It explicitly is not intended for those researching algorithmic details like PPO implementation variants, building a ChatGPT system from the ground up, or exploring other technical depths. While not specifically designed for algorithm engineers or NLP professionals, they may still benefit from it. The project includes detailed introductions to using domestic large model APIs, with sections covering installation of SDKs and example code for calling APIs from providers like Zhipu GLM and Alibaba Qwen.
The project maintains a structured curriculum with learning guides and study materials organized by topic outline. It provides supplementary video tutorials and accompanying courses alongside the core documentation. The repository is organized primarily as Jupyter Notebooks, supporting hands-on learning through executable code examples.
