Open Source AI Definition – Weekly update June 10
This week, we continued discussions about the role of training data in open source AI. Missed it? Catch up here!
This week, we continued discussions about the role of training data in open source AI. Missed it? Catch up here!
Contributions of Open Source to AI: a panel discussion at CPDP-ai conference
Discussing the challenges of Open Source AI when it comes to data, hardware, big tech companies and government regulations as a panelist at the CPDP-ai conference in Brussels.
Open Source AI Definition – Weekly update June 3
Had a busy week? Get updated on the Open Soure AI Definition co-design process!
OSI at PyCon US: engaging with AI practitioners and developers as we reach OSAID’s first release candidate
As part of the Open Source AI Definition roadshow and as we approach the first release candidate of the draft, the Open Source Initiative (OSI) participated at PyCon US 2024,…
Open Source AI Definition – Weekly update May 27
Stay updated on the progress of the Open Source AI Defintion. This week, debates about acess to training data has been reopened and our FAQ page is starting to take shape!
Exploring openness in AI: Insights from the Columbia Convening
A framework to discuss openness and AI published by Columbia Institute of Global Politics and Mozilla, in collaboration with OSI and leading AI scholars and practitioners.
Open Source AI Definition – Weekly update May 20
The training data debate has been revived and new questions regarding certifying AI systems has emerged. Read all about it here!
Unveiling ClearlyDefined: this free SBOM service gets cleared for takeoff
With all the buzz around SBOMs and Open Source supply chain compliance and security, a new revolution is igniting at ClearlyDefined. This amazing project has been flying under the radar…
The Open Source AI Definition gets closer to reality with a global workshop series
The OSI community is traveling to five continents seeking diverse input on how to guarantee the freedoms to use, study, share and modify Open Source AI systems.
Open Source AI Definition – Weekly update May 13
Stay tuend with our efforts to define open source AI!
Why datasets built on public domain might not be enough for AI
Common Corpus is a public domain dataset for training large language models (LLMs). Boasting 500 billion words in multiple languages, drawn from various cultural initiatives, it offers researchers a powerful tool to develop smaller and more efficient LLMs. It should not be abused as a tool to promote public policies that expand the reach of copyright law.
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