# Foundation Model Transparency Index Stanford University has created what they call '**Foundation Model Transparency Index'**. Stanford compared 10 different Chat Bots to find out which ones were the **most transparent.** They were scored on a 100 different indicators things like; * **How the data was trained** * **The labor that went into it** * **The compute power necessary** * **The Risks** * **The distribution** * **Feedback .. and much more** What it found was that Meta and their Llama 2 are the most transparent followed by Hugging Face, then OpenAI and then Stability all the way on down to Amazon being the least transparent with their Titan model. Stanford Concluded that developers can significantly improve transparency by adopting best practices from their competitors and that the open foundation model developers are leading the way. Oddly **OpenAI** beat **StabilityAI** even though of Stability’s Models are Open and available for people to play around with. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://metaverse-imagen.gitbook.io/ai-tools-research/about-ai-tools-research/llm-performance-benchmarks/llm-benchmarks-and-tasks/foundation-model-transparency-index.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.