It provides developers with modular components such as chains, agents, and memory modules, which, combined, can create complex AI workflows. It supports integration with various LLM providers like ...

The road to AGI is long, with one key hurdle being the auto-regressive nature of LLM ... agent may focus on research while another handles writing — each tackling a specific sub-goal. This multi ...

Growing in popularity are LLM enabled agents ... the most out of your agents, it’s important to understand the different frameworks available: single-agent and multi-agent.

Use cases for LLM application frameworks include RAG, chatbots, agents, generative multi-modal question answering ... to Joseph Weizenbaum’s ELIZA program, published in 1966.

Microsoft AutoGen AI Agent made available via Github AutoGen is a groundbreaking tool that simplifies the development of next-generation LLM applications. It does this by enabling multi-agent ...

Multi-agent systems have existed for years. What’s new is the powerful infusion of LLM capabilities that empower agents to set, prioritize and reprioritize specialized tasks. Agents often ...