The next major evolution will come from multi-agent systems—networks of smaller, specialized AI models that coordinate across ...

With innovation happening at lightning speed, we are on the brink of a new era. One that promises to shift the paradigm of productivity and business reinvention to reimagine how we work, shop and ...

After a breakneck expansion of generative tools, the AI industry is entering a more sober phase that prizes new architectures ...

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SOUN's hybrid AI model blends speed, accuracy, and cost control-outpacing LLM-only rivals in real-world deployments.

EUDIW/EBW providers must not require bundling with any specific LLM/agent vendor. LLM providers may integrate, but cannot be mandatory intermediaries for wallet use. Issuers must support binary/signed ...

A new learning paradigm developed by University College London (UCL) and Huawei Noah’s Ark Lab enables large language model (LLM) agents to dynamically adapt to their environment without fine-tuning ...

A new benchmark developed by academics shows that LLM-based AI agents perform below par on standard CRM tests and fail to understand the need for customer confidentiality.… A team led by Kung-Hsiang ...

LangGraph has been used to create a multi-agent large language model (LLM) coding framework. This framework is designed to automate various software development tasks, including coding, testing, and ...

A new orchestration approach, called Orchestral, is betting that enterprises and researchers want a more integrated way to ...