The key in agentic AI is establishing clear "expertise directories" and communication protocols using transactive memory ...

Abstract: Large language models (LLMs) begin to be widely used in cyber-physical-social systems (CCPS). Existing federated learning (FL) solutions to fine-tune LLMs usually incur significant ...

Anthropic published Agent Skills as an open standard on December 18, releasing the specification and SDK at agentskills.io for any AI platform to adopt. The move extends Anthropic’s strategy of ...

A lightweight, bash-based pipeline for running AI agents on your local hardware. No API keys required - just your GPU and any OpenAI-compatible LLM server.

Abstract: This paper presents a market-based hierarchical framework to coordinate joint energy and flexibility capability trading in a day-ahead market, while considering real-time flexibility ...

In a new paper that studies tool-use in large language model (LLM) agents, researchers at Google and UC Santa Barbara have developed a framework that enables agents to make more efficient use of tool ...

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Political commentator Glenn Beck shared a preview of his interview with an AI version of one of American’s founding fathers, George Washington to his YouTube channel recently. In the preview, Beck and ...

Large language model agents are starting to store everything they see, but can they actually improve their policies at test time from those experiences rather than just replaying context windows? Most ...

LangChain's deepagents-CLI now supports Anthropic's agent skills, enhancing AI performance with dynamic skill folders. This move marks a significant advancement in AI task execution efficiency.