mirror of
https://github.com/dair-ai/Prompt-Engineering-Guide
synced 2024-11-06 09:20:31 +00:00
14 lines
864 B
Plaintext
14 lines
864 B
Plaintext
# ReAct
|
|
|
|
import { Callout, FileTree } from 'nextra-theme-docs'
|
|
import {Screenshot} from 'components/screenshot'
|
|
import REACT from '../../img/react.png'
|
|
|
|
[Yao et al., 2022](https://arxiv.org/abs/2210.03629) introduced a framework where LLMs are used to generate both reasoning traces and task-specific actions in an interleaved manner. Generating reasoning traces allow the model to induce, track, and update action plans, and even handle exceptions. The action step allows to interface with and gather information from external sources such as knowledge bases or environments.
|
|
|
|
The ReAct framework can allow LLMs to interact with external tools to retrieve additional information that leads to more reliable and factual responses.
|
|
|
|
<Screenshot src={REACT} alt="REACT" />
|
|
Image Source: [Yao et al., 2022](https://arxiv.org/abs/2210.03629)
|
|
|
|
Full example coming soon! |