Prompt Engineering: 7 Tricks to Solve Problems with AI - Part 4

Explore prompt engineering techniques and tricks for effectively utilizing large language models (LLMs) in this 30-minute video tutorial. Learn about the two levels of prompt engineering and how to build AI applications using these methods. Discover seven key tricks, including being descriptive, providing examples, using structured text, implementing chain of thought reasoning, creating chatbot personas, employing a flipped approach, and refining prompts through reflection and review. Follow along with a practical example of building an automatic grader using LangChain, and understand the limitations of these techniques. Access additional resources, including a series playlist, blog post, and example code, to further enhance your understanding of prompt engineering and its applications in AI problem-solving.

Intro -
Agenda -
What is Prompt Engineering? -
Two Levels of Prompt Engineering -
Building AI Apps w/ Prompt Engineering -
7 Tricks for Prompt Engineering -
Trick 1: Be Descriptive -
Trick 2: Give Examples -
Trick 3: Use Structured Text -
Trick 4: Chain of Thought -
Trick 5: Chatbot Personas -
Trick 6: Flipped Approach -
Trick 7: Reflect, Review, and Refine -
Example Code: Automatic Grader with LangChain -
Limitations -