UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
Abstract: Producing executable code from natural-language directives via Large Language Models (LLMs) involves obstacles like semantic uncertainty and the requirement for task-focused context ...
Abstract: Image captioning is an emerging field at the intersection of computer vision and natural language processing (NLP). It has shown great potential to enhance accessibility by automatically ...
Explains why the ABA’s Model Procurement Code needs modernization to reflect today’s digital, complex, and strategic state and local government procurement environment. Describes the Model Procurement ...
On Thursday, Anthropic released the latest version of Opus — its most advanced model and a particularly important model for Claude Code. Opus 4.5 was only released last November, and with 4.6, the ...
Anthropic is out with a new model called Claude Opus 4.6, an upgrade to its top-of-the-line Opus 4.5 model that launched in November. The new release could add new capabilities to Anthropic’s Claude ...
We introduce ACE-Step, a novel open-source foundation model for music generation that overcomes key limitations of existing approaches and achieves state-of-the-art performance through a holistic ...
Microsoft has committed to invest up to $5B in Anthropic as it diversifies AI bets. Some software stocks have declined as AI coding tools like Claude Code threaten SaaS pricing power. Follow 24/7 Wall ...
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