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:    • Large Language Models (LLMs)  

📰 Read more: https://towardsdatascience.com/prompt...
💻 Example code: https://github.com/ShawhinT/YouTube-B...

More Resources
[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]

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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