The architecture of this multi-agent framework is a marvel of modern technology. It uses LangGraph’s state graphs, nodes, and edges to coordinate the activities of the AI agents.

Background: We previously proposed a hybrid framework combining LLMs and rule based algorithm (RBA) for automating risk stratification in locPCa. Herein, we aim to validate the risk stratification ...

It offers a generic multi-agent conversation framework that integrates LLMs, tools, and humans, enabling them to collectively perform tasks autonomously or with human feedback.

Use cases Use cases for LLM application frameworks include RAG, chatbots, agents, generative multi-modal question answering, information extraction from documents, and many more.

Libraries like AutoGPT, MetaGPT, and BabyAGI are specifically focused on LLM agents and multi-agent applications. ChatDev uses LLM agents to emulate an entire software development team.

2] CrewAI CrewAI is an open-source Python framework that is designed to build a multi-AI agent system that is quite good at collaboration and autonomy.

LLM agents empower employees, optimize business and handle complex tasks, offering fresh ways to fuel reinvention. With innovation happening at lightning speed, we are on the brink of a new era.

The result is a broad tapestry of AI agents, each trusted to act within a limited remit. “You might have a billing agent that is able to understand everything about a customer’s bill, another agent ...

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. Abstract ...