Auto CoT Prompting Technique Explained | Prompt Engineering Guide

Kalyan KS · Beginner ·✍️ Prompt Engineering ·2y ago

Key Takeaways

The video explains the Auto CoT prompting technique, a method that automates the generation of reasoning chains for prompt engineering, addressing issues with few-shot and zero-shot CoT prompting techniques. It involves selecting diversified questions, automatically generating reasoning chains, and using them as examples for LLMs.

Full Transcript

hi everyone in this video I am going to explain the autoc prompting technique in detail you can find the notes for this video lecture in the book llm prompt engineering simplified which is free to access and read online coot prompting with examples having handcrafted reasoning chains does well but the main disadv Vantage of coot prompting is the requirement of handcrafted reasoning chains this is because generating reasoning chains manually is a laborious an expensive task zero shot co prompting eliminates the requirement of handcrafted reasoning chains by using the magical phrase let's think step by step this magical phrase instructs the llm to automatically generate reasoning chains as the reasoning chains are automatically generated sometimes the generated reasoning chains can be inaccurate which impacts the llm performance autoc coot prompting addresses the issues with coot prompting and zero shot co prompting by automatically generating reasoning chains now you may have a question are not automatically generated reasoning chains inaccurate sometimes autoc prompting addresses this issue by selecting Diversified questions for reasoning chain generation once the reasoning chains are generated autoc coot prompting uses the Diversified questions along with automatically generated chains as examples similar to coot prompting now let us see how autoc coot prompting Works autoc prompting involves three steps the first step involves selection of Diversified questions that is questions are clustered and then representative questions are selected from each cluster so that the selected questions will be diverse the Second Step involves automatic generation of reasoning chains using the magical phrase let's think step by step for the selected questions the third step involves using Diversified questions along with automatically generated chains as examples similar to coot prompting now let us see the pros of autoc coot prompting technique the first advantage of autoc prompting is reduced manual effort that is automates the error prone and laborious task of generating reasoning chains the second advantage of autoc coot prompting is scalability that is enables generating reasoning chains for a vast number of tasks without manual intervention now let us see the cons of autoc prompting Techni technique the disadvantage of autoc prompting is incorrect reasoning chains that is the llm might generate incorrect or incomplete reasoning steps this is because even though the use of Diversified questions addresses this issue but still there are chances for the generation of incorrect or incomplete reasoning steps to summarize autoc prompting automates the task of generating reason chains and achieves results on par with coot prompting I hope you find this video informative like the video and subscribe to the channel so that you won't miss new video lectures see you in the next video lecture

Original Description

Auto CoT prompting technique explained. Auto CoT prompting addresses the issues with few-shot CoT and zero-shot CoT prompting techniques by automatically constructing demonstrations with reasoning chains. Auto-CoT prompting automates the task of creating demonstrations and achieves results on par with few-shot CoT prompting. 📝 Lecture Notes - https://llmnanban.akmmusai.pro/Mastery/Auto-CoT-Prompting-explained/ 📙 LLM Prompt Engineering Simplified Book (by Kalyan KS) ============================================================== Book link - https://llmnanban.akmmusai.pro/Book/LLM-Prompt-Engineering-Simplified-Book/ 📥 Do you want to get the latest updates related to Generative AI, LLMs, and Prompt Engineering? You can follow me on Twitter and LinkedIn. I do share a lot of useful information. 👋 Keep in touch? ============================================================== 🐥 Twitter - https://twitter.com/kalyan_kpl 🔗 LinkedIn - https://www.linkedin.com/in/kalyanksnlp/ 🌎 Website - https://www.akmmusai.pro/kalyanksnlp
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The Auto CoT prompting technique automates the generation of reasoning chains for LLMs, reducing manual effort and improving scalability. It involves selecting diversified questions, generating reasoning chains, and using them as examples.

Key Takeaways
  1. Select diversified questions
  2. Automatically generate reasoning chains using the magical phrase 'let's think step by step'
  3. Use diversified questions and generated chains as examples for LLMs
💡 The use of diversified questions in Auto CoT prompting helps to reduce the generation of incorrect or incomplete reasoning steps, improving the overall performance of LLMs.

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