AI1 min read
Machine-learning framework for improved computational protein design
A new framework aims to enhance success rates in computational protein design, moving beyond reproducing natural sequences.
From MIT News: artificial intelligence
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AI1 min read
A new framework aims to enhance success rates in computational protein design, moving beyond reproducing natural sequences.
From MIT News: artificial intelligence
LLMs1 min read
Hugging Face replicated 2,200 research papers from ICML, providing accessible implementations and datasets. This effort offers engineers a resource for understanding and evaluating model performance directly.
From Hugging Face blog
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
How this blog is made
Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace.
Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run the same pipeline yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.