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Join me on a journey through the 10 levels of prompt engineering techniques. We start with some basic techniques, like basic prompt formatting, then move to more advanced techniques like using personas, the move on to more advanced techniques, like Chain of Thought (CoT). For my current role, I've needed to squeeze every bit of accuracy, and general helpfulness, I can from GPT-4 and other LLMs. I've spent dozens of hours reading research papers and hundreds of hours prompting large language models - this is my attempt to condense all of that knowledge into 9 minutes. I hope you learn something from this video. Comment with any questions, and I'll make sure to respond! *** My custom instructions (system prompt) is available here: https://gist.github.com/patrickstorm/eed8cc798c3508273483cc557e87b013 *** 0:00 - Intro 0:19 - Level 1 - Basic requests 0:41 - Level 2 - Using formatting 2:10 - Level 3 - Focused requests 3:09 - Level 4 - Give examples 4:00 - Level 5 - Self reflection 4:16 - Level 6 - System prompt / custom instructions 5:02 - Level 7 - Use personas 5:46 - Level 8 - Chain of thought 6:12 - Level 9 - Self prompting 6:47 - Level 10 - CO-STAR framework