LLMs1 min read
Your Agent Aced the Task. Will It Do It Again?
Hugging Face blog published Your Agent Aced the Task. Will It Do It Again?.
From Hugging Face blog
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LLMs1 min read
Hugging Face blog published Your Agent Aced the Task. Will It Do It Again?.
From Hugging Face blog
Research1 min read
arXiv:2609.13475v1 Announce Type: new Abstract: Existing pipelines for clinical timeline extraction from case reports are evaluated using an expert reference and are limited by imperfect reference annotations and imprecise event alignmen...
From arXiv cs.AI
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.
arXiv:2609.13238v1 Announce Type: new Abstract: Maxillofacial report generation from cone beam computed tomography is scored here by a composite objective placing 80% of its weight on a large language model judgement of factual entailmen...
From arXiv cs.CL
Research1 min read
arXiv:2609.13566v1 Announce Type: new Abstract: Industrial maintenance systems involve multiple interacting assets and shared resources, making it challenging to balance reliability and operational cost using a single decision framework....
From arXiv cs.AI
LLMs1 min read
For a while, I must admit, it looked as if software developer roles like mine were done for. How could we fight against tireless robots? But our industry is slowly realizing that making truly cutting-edge software still requires humans t...
From Simon Willison
Research1 min read
A new method, belief-shift branching, uses model belief divergence to strategically place forks in tree-structured reinforcement learning chains. This approach, validated against multiple models and benchmarks, achieves significant performance gains, particularly in code generation tasks.
From arXiv cs.AI
AI1 min read
Anthropic has launched a new evaluation process for Claude Code plugins, allowing developers to measure skill triggering, survival across edits, and performance against a bare model. This workflow uses six grader types, costing $0.41 per run and providing detailed insights into plugin effectiveness.
From MarkTechPost
AI1 min read
Garry Tan advocates for U.S. open-weight AI labs to utilize distillation techniques on frontier models, arguing against regulatory overreach and aiming for a more diverse open-weight AI ecosystem.
From TechCrunch AI
Agents1 min read
TwelveLabs Marengo Embed 3.0 is available in Amazon Bedrock Knowledge Bases, allowing fully managed natural language search for video, image, and audio content. This walkthrough demonstrates building a knowledge base and running semantic queries against media assets.
From AWS machine learning blog
Research1 min read
ContractEval is a new framework designed to identify failures in LLM agents executing procedural instructions. It explicitly represents obligations and matches them against response or trace evidence, highlighting omissions and errors that standard evaluation methods miss.
From arXiv cs.AI
LLMs1 min read
The strongest argument I see for continuing to train much smarter models quickly is the need to build defensive systems against the dangers posed by other AI. [...] We will need powerful, aligned AI for defense; to secure infrastructure,...
From Simon Willison
LLMs1 min read
GRACE deconstructs LLM responses into claims, grounds them against knowledge priors, and classifies their validity, enabling efficient expert verification and knowledge expansion.
From arXiv cs.CL
LLMs1 min read
Together AI allows engineers to conduct A/B tests in production by splitting traffic between model variants. This enables real-world measurement of model performance against the control, using a flexible endpoint-level routing system.
From Together AI 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.
