From 6fecc9222e063d1f3a6bf3c9885f46e10cbfecb0 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Agust=C3=ADn=20Fern=C3=A1ndez?= <45650558+Dasher83@users.noreply.github.com> Date: Wed, 26 Nov 2025 12:44:37 -0300 Subject: [PATCH] Add video link to ReAct Prompting section (#9295) Added a video link for methods of prompt engineering. --- .../content/react-prompting@8Ks6txRSUfMK7VotSQ4sC.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/src/data/roadmaps/prompt-engineering/content/react-prompting@8Ks6txRSUfMK7VotSQ4sC.md b/src/data/roadmaps/prompt-engineering/content/react-prompting@8Ks6txRSUfMK7VotSQ4sC.md index e620e1a89..7da749f67 100644 --- a/src/data/roadmaps/prompt-engineering/content/react-prompting@8Ks6txRSUfMK7VotSQ4sC.md +++ b/src/data/roadmaps/prompt-engineering/content/react-prompting@8Ks6txRSUfMK7VotSQ4sC.md @@ -1,3 +1,5 @@ # ReAct Prompting -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. \ No newline at end of file +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. + +- [@video@4 Methods of Prompt Engineering](https://youtu.be/vD0E3EUb8-8?si=Y6MCLPzjmhMB4jSu&t=203)