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Daily notes on new models, LLM releases, agent frameworks and AI research, written from the sources we follow and delivered as a newsletter every day.
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AI1 min read
GGUF, GPTQ, AWQ, EXL2, and EXL3 solve the same problem in different ways. This guide separates file containers from quantization methods. It explains bits per weight, calibration, and hardware fit. Then it shows which format to pick for ...
From MarkTechPost
Agents1 min read
The AWS Ray Serve Deep Learning Container provides a supported, pre-tested container for TorchServe workloads, eliminating the need to manage the entire GPU inference stack. This allows teams to deploy vision-language models on Amazon EKS using a single GPU node.
From AWS machine learning blog
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.
Research1 min read
Climate & Sustainability
From Google Research blog
Research1 min read
Microsoft Research released Skala 1.1, an updated deep-learning exchange-correlation functional for predictive DFT. This update expands accessibility and provides a benchmark for tracking computational performance.
From Microsoft Research
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.
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