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

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 practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

Microsoft has quietly made available a new framework that enables development of large language model (LLM) applications using multiple agents that can converse with each other to solve tasks. AutoGen ...

Large language models by themselves are less than meets the eye; the moniker “stochastic parrots” isn’t wrong. Connect LLMs to specific data for retrieval-augmented generation (RAG) and you get a more ...

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 ...

Having spent years building and scaling artificial intelligence and machine language (AI/ML) solutions at AWS Bedrock and now at Intuit, I've witnessed firsthand the incredible advancements in large ...

Whether you're a scientist brainstorming research ideas or a CEO hoping to automate a task in human resources or finance, you'll find that artificial intelligence (AI) tools are becoming the ...

A new technical paper titled “ThreatLens: LLM-guided Threat Modeling and Test Plan Generation for Hardware Security Verification” was published by researchers at University of Florida. “Current ...

During the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) this week in Vienna, Austria, researchers from Bloomberg’s AI Engineering group in London are showcasing ...