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| title: README | |
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| **This is a community of researchers from different countries and institutions interested in studying the emerging open-source AI ecosystem.** | |
| We believe that a diverse and inclusive community leads to more robust and impactful research in open-source AI. We welcome contributors with diverse backgrounds and skills. | |
| Learn more about our areas of interest below and join us to uncover the activity and impact of different initiatives focused on openness in AI. | |
| # Research Projects | |
| <details> | |
| <summary><b>✅ Quantitative Analysis of Hugging Face Hub</b></summary> | |
| - Using activity data from Hugging Face Hub datasets, models and spaces, we ran a three-part quantitative analysis of development activity, finding that: | |
| - activity is extremely imbalanced between repositories; with over 70% of models having 0 downloads, while 1% accounting for 99% of downloads | |
| - the community has a core-periphery structure, with a core of prolific developers while the large majority (89%) of developers are "islands", primarily working alone. | |
| - Link to Paper: [The AI Community Building the Future? A Quantitative Analysis of Development Activity on Hugging Face Hub](https://huggingface.co/papers/2405.13058) | |
| </details> | |
| <details> | |
| <summary><b>🚧 Model Tree Lineages from Base Models to Derived Models</b> </summary> | |
| - We are looking into what kinds of downstream activity are most prevalent for different kinds of foundation models. | |
| What kinds of derivations (e.g. fine tuning, quantizing) are most popular? | |
| </details> | |
| <details open> | |
| <summary><b>🚧 Cartography of Collaboration in the Open Source AI Ecosystem</b> </summary> | |
| - We are investigating how open source AI artefacts such as open datasets and open-weight models are built and who contributes to this process across the model building pipeline, including during the pre-release and post-release phases. | |
| - Our research aims to map collaboration practices from pre-release to post-release across diverse organisational contexts, | |
| including individuals, grassroots initiatives, research institutes, startups, and large technology companies, and geographies. | |
| </details> | |
| # Open to collaboration! | |
| <div style="background: linear-gradient(to right, lightyellow, lightcoral); padding: 1px 20px; border-radius: 10px; margin-bottom: 20px; margin-top:20px; color:black;"> | |
| <h2 style="color:black; padding: 0, margin:0">Interested in open-source AI research?</h2> | |
| <p>We welcome researchers at all levels of experience. Here's how to get involved:</p> | |
| <ul> | |
| <li><b>Discuss ideas:</b> Share your thoughts and connect with other researchers on our <a style="color:black" href="https://huggingface.co/spaces/OSAIResearchCommunity/README/discussions">community page</a>.</li> | |
| <li><b>Join the organization:</b> If you're actively working on projects related to open-source AI, we encourage you to join our organization.</li> | |
| </ul> | |
| </div> |