Micro1 is building the evaluation layer for AI agents providing contextual, human-led tests that decide when models are ready ...

A duplex speech-to-speech model changes the premise: The intelligence layer consumes audio and produces audio directly. The model can attend to what was said and how it was said—content and delivery ...

A new study published by TELUS Digital, The Robustness Paradox: Why Better Actors Make Riskier Agents, finds that the use of ...

Enter large language model (LLM) evaluation. The purpose of LLM evaluation is to analyze and refine GenAI outputs to improve their accuracy and reliability while avoiding bias. The evaluation process ...

For cross-provider support, it is critical that evaluation benchmarks can be defined once and reused across multiple models, despite differences in their APIs. To this end, LMEval uses LiteLLM, a ...

In the context of global decarbonization, reducing energy consumption in the building sector is an urgent issue. Researchers have developed a next-generation building energy evaluation model that ...

The rapid emergence of Large Language Models (LLMs) and generative AI is reshaping how people and organizations access, synthesize, and apply knowledge.

Enterprises are beginning to adopt the Model Context Protocol (MCP) primarily to facilitate the identification and guidance of agent tool use. However, researchers from Salesforce discovered another ...

A university professor has been awarded nearly £350,000 to evaluate the clinical transformation model of the Welsh Ambulance ...