Mastering DeepMind's Advanced Prompt Technique: Step-Back Prompting with LangChain

In this tutorial video, I'll guide you through the Step Back Prompting technique, recently discovered by Google's DeepMind. Step-back prompting is an advanced prompting method that allows Language Models (LLMs) to abstract high-level concepts and derive first principles from specific instances. With this technique, you can harness the power of LangChain, an orchestration framework, to implement Step-Back Prompting in your own projects.

By watching this video, you'll learn how to utilize Step-Back Prompting to guide LLMs in reasoning, significantly enhancing their performance across a range of challenging tasks such as STEM, Knowledge QA, and Multi-Hop Reasoning.

If you're passionate about cutting-edge Generative AI techniques and want to take your LLM-powered projects to the next level, don't forget to like this video, leave a comment with your thoughts or questions, and subscribe to my channel for more exciting tutorials and updates. 🔍🧠🚀

#langchain #generativeai #promptengineering

[FutureAIUpdates]

Nice...but you didn't explain what is step back prompting actually is?...You directly jumped to the practical...I request to explain the new concept clearly...by the way thanks for everything what you do❤

[gappun]

Can we Make use of Step Back Prompting with a Simple Prompt Template ?

[blck.mnkz]

Nice video can you do the same with models running locally?