Favorite An open call to test OpenVLA Last week @quaid suggested conducting a controlled experiment to determine if data information alone is sufficient to recreate an AI model with fidelity to the original. He shared insights from the OpenVLA project, noting its possible compliance with the requirements of draft v0.0.8

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Shared by voicesofopensource July 1, 2024

Favorite Explaining the concept of Data information Following @stefano’s publication regarding why the OSI considers training data to be “optional” under the checklist in Open Source AI Definition, the debate has continued. Here are the main points: Preferred Form of Modification @hartmans states finding an agreement on the meaning of

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Shared by voicesofopensource June 24, 2024

Favorite Explaining the concept of Data information After much debate regarding training data, @stefano published a summary of the positions expressed and some clarifications about the terminology included in draft v.0.0.8. You can read the rationale about it and share your thoughts on the forum.  Initial thoughts: @Senficon (Felix Reda)

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Shared by voicesofopensource June 17, 2024

Favorite There seems to be some confusion caused by the concept of Data information included in the draft v0.0.8 of the Open Source AI Definition. Some readers may have seen the original dataset included in the list of optional components and quickly jumped to the wrong conclusions. This post clarifies

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Shared by voicesofopensource June 14, 2024

Favorite Open Source AI needs to require data to be viable With many different discussions happening at once, here are the main points: On the issue of training data @mark is concerned with openness of AI not being meaningful if there is not a focus on the training data.” Model

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Shared by voicesofopensource June 11, 2024

Favorite I participated as a panelist at the CPDP-ai 2024 conference in Brussels last week where we discussed the significant contributions of Open Source to AI and highlighted the specific properties that differentiate Open Source AI from proprietary solutions. Representing the Open Source Initiative (OSI), the globally recognized non-profit that

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Shared by voicesofopensource June 4, 2024

Favorite Initial report on definition validation A first draft of the report of the validation phase has been published. The validation phase is designed to review the compatibility of existing systems with the current draft definition. These are the systems in question: Arctic, BLOOM, Falcon, Grok, Llama 2, Mistral, OLMo,

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Shared by voicesofopensource June 3, 2024

Favorite 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, the annual gathering of the Python community. This opportunity was important because PyCon US brings together AI practitioners and

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Shared by voicesofopensource May 29, 2024

Favorite Open Source AI needs to require data to be viable @juliaferraioli and the AWS team have reopened the debate regarding access to training data. This comes in a new forum which mirrors concerns raised in a previous one. They argue that to achieve modifiability, an AI system must ship

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Shared by voicesofopensource May 28, 2024

Favorite Over the past year, a robust debate has emerged regarding the benefits and risks of open sourcing foundation models in AI. This discussion has often been characterized by high-level generalities or narrow focuses on specific technical attributes. One of the key challenges—one that the OSI community is addressing head

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Shared by voicesofopensource May 23, 2024