Comments on draft 0.0.6 from the forum<\/p>\n
Point raised by participant that training data has been listed both as optional and a precondition. This might cause confusion as it is unclear whether we should have the right to access training data or know what training data was used for the model<\/p>\n
OSI has added to a line to the checklist about the data transparency requirements.<\/p>\n
To contribute, read the new draft here\u00a0<\/p>\n
Moving on to next steps! Town hall this Friday<\/p>\n
We\u2019ll discuss the next steps:<\/p>\n
Focus on the availability of the required components (granted by the results of the working groups) and make a list of the legal documents they use<\/p>\n
This is to test the current draft Definition and edit accordingly<\/p>\n
Click here to access the town hall meeting on Friday 22d of March.\u00a0<\/p>\n
Comments on definitions under \u201cWhat is open source AI?\u201d<\/p>\n
New definition of code suggested so the model architecture is not an overlapped subset of training, validation, and testing code. Comments point out that without a defined architecture, the training, validation, and testing code cannot load a model correctly.<\/p>\n
New definition of model suggested as the model parameters and weights is argued to be the same.\u00a0<\/p>\n
Still strong debate about access to training data\u00a0<\/p>\n
There is a fear that this will harm the ecosystem in the long run, as the original work of the model never can be \u201cforked\u201d to improve the model itself.
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\nSource: opensource.org
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