ReAct
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What is ReAct?
ReAct (Reason and Act) prompting enables LLMs to solve complex tasks by combining reasoning with external tool interactions. It follows a thought-action-observation loop: analyze the problem, perform actions using external APIs, review results, and iterate until solved. Useful for research, multi-step problems, and tasks requiring current data.
Free resources to learn ReAct
- ArticleReAct Prompting
- Video4 Methods of Prompt Engineering
More in stage 5: Type of Models
- Type of Models
- Pre-trained Models
- Closed vs Open Source Models
- Self-Hosted Models
- Zero-Shot
- Few-Shot
- CoT
- Function Calling
- Prompt Caching
- Streaming Responses
- RAG & Dynamic Filters
- Memory Systems
- Context Compaction
- Long-Context Processing
- State & Historical Context
- Multi-agent Context Sharing
- Context Isolation
- Context Failure Modes
ReAct: common questions
Can I learn ReAct in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain ReAct in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this ReAct tutorial for beginners?
It is lesson 46 of 189 in the free AI Engineer roadmap, in stage 5, Type of Models. If you are new to AI Engineer, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.