Just a simple narrative—of heroes ... priming can shape how large language model (LLM) agents collaborate—or don’t. The research premise was based on Yuval Harari’s idea that shared ...

The recently launched Agents API positions the Paris-based startup as a direct competitor to major platforms from other model ...

Successful AI agents require enterprises to orchestrate interactions, manage shared knowledge and plan for failure.

Discover why the smartest leaders stop playing defense—and how a shift to cooperation can boost trust, loyalty, and results.

The road ahead will be defined by agility and trust. AI agents aren't science fiction—they're becoming our de facto digital ...

S3 decouples RAG search from generation, boosting efficiency and generalization for enterprise LLM applications with minimal data.

Conclusion: The GIS-agent based model designed for this study can be easily customized to study the disease spread dynamics of any other communicable disease by simply adjusting the modeled ...

Unlike the more closed and proprietary model prevalent in the U.S., China’s approach leverages state support and open-source ...

Google’s I/O 2025 keynote revealed how agentic A.I. is evolving from reactive assistant to proactive collaborator across its ...

O n the last night of the Music Biz conference in Atlanta on Thursday (May 15), the Music Business Association held its annual Bizzy Awards dinner honoring industry executives, including the late ...

Role models, a relatively new concept in object oriented software engineering, emphasize patterns of interaction. The article shows how role modeling can facilitate agent system analysis and design.

SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024] ...