As an Enterprise Architect I work with Capabilities, Use Cases and Value Maps amongst other things. Hugging Face is a great resource for tracking down AI models but is mostly technical and quite detailed. I built ThinkLLM because I thought that as more and more people are going to be using LLMs it would be easier to find AI models by capabilities and use cases than simply browsing long lists of models.

The website has nothing extraordinary or special. Is just a different view on existing data. It basically tries to connect AI models (mainly LLMs) with capabilities, use cases and other useful resources such as glossary terms, research papers and benchmarks. It has also the functionality of comparing up to three models.

The website was built with nextjs and Rust (backend). I used data from publicly available sources. Scoring and model descriptions are generated by using an LLM and reviewed by me prior to publication.

Any comment on how to make it better would help a lot

Thanks