Everything Bagel
Bagel Labs, Bidhan Roy, Marcos Villagra, Raihan Seraj, Gin JiangBagel Labs is a distributed machine learning research lab.
| Platform |  | Pricing | Only free issues | Publishes | Infrequently |
|---|---|---|---|---|---|
| Issues | 14 | Subscribers | Read | blog.bagel.com |
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Latest Issues
Recent posts by this newsletter. Browse the email archive.
Stability–Quality Paradox in Decentralized Diffusion Models
In Decentralized Diffusion Models (DDMs), denoising is routed through independently trained experts at inference time. These experts can strongly disagree in their denoising predictions. What actually governs the quality of generations in s...
Introducing Paris
We’re releasing Paris \- the world’s first decentralized trained open-weight diffusion model. The model is open for research and commercial use under the MIT license.
Tiny Tool Use
> Bagel Labs launching Tiny Tool Use, an intentionally tiny but production grade open-source library designed to simplify the process of training open-source LLMs for tool use.
Return on Experience (RoE)
Reinforcement learning (RL) evolves at headline speed. Each month brings a new “state‑of‑the‑art.” But we had to pause to ask one important question:
Authors
The writers behind this newsletter.
An artificial intelligence research lab pioneering distributed training of frontier diffusion models on commodity hardware.
Founder & CEO, bagel.net
Computer scientist working on research and engineering problems in cryptography and theoretical computer science. Currently a research engineer at the Bagel Network.
Teaching machines to turn data into discovery
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