Blog
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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LLMs1 min read
The study examines internal changes in Audio LLMs when trained on data that requires audio for answer determination, highlighting how acoustic information impacts model representations and predictions.
From arXiv cs.CL
Agents1 min read
Intuit built EWOK Agent, an agentic disaster recovery tool on Amazon Bedrock, enabling engineers to execute failovers via plain language while ensuring auditability and policy compliance.
From AWS machine learning blog
Agents1 min read
The post details migrating a customer support agent from a notebook environment to Amazon Bedrock AgentCore, progressing through stages to reduce operational burdens and enhance deployment efficiency.
From AWS machine learning blog
Agents1 min read
AWS has announced a platform that uses generative AI to enhance support operations, including converting videos into SOPs, guiding ticket resolution, and predicting SLA risks.
From AWS machine learning blog
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
AI1 min read
Alexander Rakhlin, an expert in machine learning, statistics, and computation, has been named director of the MIT Statistics and Data Science Center, succeeding Professor Ankur Moitra.
From MIT News: artificial intelligence
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.
