MeetBagelPPML

4 ms·

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   by MeetBagelPPML 2y ago

   Verifying LoRA fine-tuning updates for large language models without exposing sensitive parameters has been a longstanding challenge in AI development. Traditional methods are slow, inefficient, and risky for protecting proprietary data. En
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   by MeetBagelPPML 2y ago

   The paradox of open source AI is that while the code is open, the economics are closed. The current system collapses by 2025: Training competitive models already costs $500K+ Value flows only to centralized platforms Independent researchers
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   by MeetBagelPPML 2y ago

   This is super cool! If you're looking to get in early on a free tool that allows you to finetune your model using encrypted data sets you can sign up here: https://waitlist.bagel.net/
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   RAG or Fine-tuning? Which is best for training a model?(x.com)

   2 points by MeetBagelPPML 2y ago|1 comments
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   Bagel: The Inference Interference – Design verifiable inference that's not slow(blog.bagel.net)

   1 points by MeetBagelPPML 2y ago|3 comments
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   GPU Restaking – Beyond digital currencies to physical computing resources(blog.bagel.net)

   13 points by MeetBagelPPML 2y ago|6 comments