Prompt Engineering: How to Trick AI into Solving Your Problems

Get exclusive access to AI resources and project ideas: https://the-data-entrepreneurs.kit.com/shaw This is the 4th video in a series on using large language models (LLMs) in practice. Here, I review Prompt Engineering, 7 prompting tricks, and walk through example code that uses LangChain to build an AI application. ▶️ Series Playlist: https://www.youtube.com/playlist?list=PLz-ep5RbHosU2hnz5ejezwaYpdMutMVB0 📰 Read more: https://medium.com/towards-data-science/prompt-engineering-how-to-trick-ai-into-solving-your-problems-7ce1ed3b553f?sk=c92e4bb4b026bdc263f01a9310c8ec11 💻 Example code: https://github.com/ShawhinT/YouTube-Blog/tree/main/LLMs/langchain-example References [1] arXiv:2302.11382 [cs.SE] [2] arXiv:2106.09685 [cs.CL] [3] State of GPT by Andrej Karpathy at Microsoft Build 2023 [4] arXiv:2206.07682 [cs.CL] [5] ChatGPT Prompt Engineering for Developers by deeplearning.ai [6] arXiv:2005.14165 [cs.CL] [7] arXiv:2201.11903 [cs.CL] [8] arXiv:2210.03493 [cs.CL] -- Homepage: https://shawhintalebi.com/ Intro - 0:00 Agenda - 1:23 What is Prompt Engineering? - 1:52 Two Levels of Prompt Engineering - 4:31 Building AI Apps w/ Prompt Engineering - 5:41 7 Tricks for Prompt Engineering - 9:43 Trick 1: Be Descriptive - 12:00 Trick 2: Give Examples - 13:31 Trick 3: Use Structured Text - 15:13 Trick 4: Chain of Thought - 17:00 Trick 5: Chatbot Personas - 18:31 Trick 6: Flipped Approach - 19:55 Trick 7: Reflect, Review, and Refine - 21:24 Example Code: Automatic Grader with LangChain - 22:39 Limitations - 28:19