// MODEL OPTIMIZATION AND PROMPT SYNTAX TERM
ReAct
A prompting strategy that combines logical thinking (reasoning) with the ability to perform actions, like searching the web or using tools, allowing the AI to solve more complex tasks.
TECHNICAL DEFINITION
ReAct (Reasoning and Acting) is a prompting paradigm for LLMs that interleaves natural language reasoning traces with task-specific actions (e.g., tool calls, API interactions), enabling the model to dynamically plan, execute, and observe outcomes, thereby solving complex problems requiring external interaction.
BACKGROUND
Grok is a generative artificial intelligence chatbot developed by SpaceXAI. It was launched in November 2023 by Elon Musk as an initiative based on the large language model (LLM) of the same name. Grok has apps for iOS and Android and is integrated with the X social network and Tesla's Optimus robot. The chatbot is named after the verb to grok, created by the American science fiction author Robert A. Heinlein to convey a form of deep, intuitive understanding.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- Reasoning-Action Interleaving
- Tool-Augmented Reasoning
- Action-Oriented Prompting
USAGE NOTE
ReAct is crucial for building AI agents that can interact with external environments and perform multi-step tasks.
DEVELOPERS
Organizations developing technology related to ReAct.
The research division that introduced the ReAct (Reasoning and Acting) prompting framework, actively developing and applying advanced techniques for large language models to combine reasoning with external tool use.
A leading framework for developing applications powered by large language models, providing extensive support for ReAct-style agents that enable LLMs to reason and interact with tools and external data sources.
A data framework for LLM applications that includes agents and query engines capable of sophisticated reasoning and acting by integrating LLMs with various data sources and tools, leveraging principles similar to ReAct.
Offers a comprehensive platform and libraries for machine learning, including tools and educational resources that support advanced prompt engineering techniques and agentic workflows for LLMs, aligning with ReAct principles for combining reasoning with tool use.
Creator of the GPT series of models, OpenAI develops APIs like Function Calling and the Assistants API, which enable models to 'act' by using external tools and interacting with custom functions, directly supporting the principles of the ReAct framework in practical applications.
Provides comprehensive AI services, including Azure AI Studio, which supports advanced prompt engineering and the development of intelligent agents that can reason and perform actions by integrating large language models with various tools and services, reflecting ReAct methodologies.
Developers of the Claude family of LLMs, Anthropic conducts research into advanced AI safety and prompting techniques, including those that involve structured reasoning and interaction with external processes, which align with the principles of ReAct for robust LLM behavior.
Provides large language models and a platform for enterprise AI, focusing on practical prompt engineering and the development of agents capable of complex reasoning and tool interaction to solve business problems, aligning with the core concepts of ReAct.