From ac51fe9959ca38b4ecbf0b76b9f946a0b8626a30 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 12:44:49 -0300 Subject: [PATCH] Add video link to Chain of Thought Prompting (#9291) Added a video link related to Context Engineering and Prompt Engineering. --- .../chain-of-thought-cot-prompting@weRaJxEplhKDyFWSMeoyI.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/src/data/roadmaps/prompt-engineering/content/chain-of-thought-cot-prompting@weRaJxEplhKDyFWSMeoyI.md b/src/data/roadmaps/prompt-engineering/content/chain-of-thought-cot-prompting@weRaJxEplhKDyFWSMeoyI.md index 8fdcbb4ca..b1f8ad6ca 100644 --- a/src/data/roadmaps/prompt-engineering/content/chain-of-thought-cot-prompting@weRaJxEplhKDyFWSMeoyI.md +++ b/src/data/roadmaps/prompt-engineering/content/chain-of-thought-cot-prompting@weRaJxEplhKDyFWSMeoyI.md @@ -1,3 +1,5 @@ # Chain of Thought (CoT) Prompting -Chain of Thought prompting improves LLM reasoning by generating intermediate reasoning steps before providing the final answer. Instead of jumping to conclusions, the model "thinks through" problems step by step. Simply adding "Let's think step by step" to prompts often dramatically improves accuracy on complex reasoning tasks and mathematical problems. \ No newline at end of file +Chain of Thought prompting improves LLM reasoning by generating intermediate reasoning steps before providing the final answer. Instead of jumping to conclusions, the model "thinks through" problems step by step. Simply adding "Let's think step by step" to prompts often dramatically improves accuracy on complex reasoning tasks and mathematical problems. + +- [@video@Context Engineering vs. Prompt Engineering: Smarter AI with RAG & Agents](https://youtu.be/vD0E3EUb8-8?si=Y6MCLPzjmhMB4jSu&t=203)