Keys To Understanding ReAct: Synergizing Reasoning and Acting in

Keys To Understanding ReAct: Synergizing Reasoning and Acting in Language Models

Listen now

Description

This week we explore ReAct, an approach that enhances the reasoning and decision-making capabilities of LLMs by combining step-by-step reasoning with the ability to take actions and gather information from external sources in a unified framework. To learn more about ML observability, join the Arize AI Slack community or get the latest on our LinkedIn and Twitter.

More Episodes

See all »

Introduction to OpenAI's Realtime API

We break down OpenAI’s realtime API. Learn how to seamlessly integrate powerful language models into your applications for instant, context-aware responses that drive user engagement. Whether you’re building chatbots, dynamic content tools, or enhancing real-time collaboration, we walk through...

Published 11/12/24

Deep Papers

Published 11/12/24

Swarm: OpenAI's Experimental Approach to Multi-Agent Systems

As multi-agent systems grow in importance for fields ranging from customer support to autonomous decision-making, OpenAI has introduced Swarm, an experimental framework that simplifies the process of building and managing these systems. Swarm, a lightweight Python library, is designed for...

Published 10/29/24