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2022_09_26_minutes.txt
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1. Discussions with Hugging Face
Synopsis: Hugging Face offers a free public facing service which allows anyone to publish AI models.
They also provide a paid public service which allow any published model to be run.
The free service runs off a Hub software which is proprietary software.
The Hub software has similarities with the open source catalog that ENG is building.
Options for Collaboration:
- Open Source Plug-Ins for Hugging Face model
- Configure ENG core work to be compatible with Hugging Face services, i.e. support their APIs (will require their consent)
- Define meaning of openness and how the interfaces will work to keep the open option.
Second option voted upon and agreed by the attendees.
Next Steps: David Edelsohn to check with Hugging Face, and subsequent follow up with ENG Board and Hugging Face.
2. Data preprocessing function from Satellite Working Group
Proposal is to have a data reduction facility which is provided to minimize how much data is drawn from the Internet.
Run the suggestion by Ryan Coffee to check applicability to his use-case scenarios