Class 4
Prompt engineering
1. Introduction
What is prompt engineering? As we have now learned, LLMs are extremely powerful, but only if you know what to ask (and how to ask for it). In this video, we'll walk through the anatomy of a prompt: Task, Instructions and Context (TIC).
📝 Use what you learned to come up with a good prompt for your job search. Here's a helpful example.
2. Two Prompting Extensions
What about more complex tasks? In this video we explore two advanced approaches: Chain of Thought (CoT) and Few-Shot Prompting.
📝 Use these techniques to come up with a good prompt for your interview prep. Here's a helpful example.
3. Personas
Another powerful technique is to have the LLM take the perspective of a specific persona, with their own set of goals and perspectives. Learn how to use chatbots as mentors, critics, tutors, students, interviewers and more.
📝 Use this new approach to help you practice your job offer negotiation. Here's a helpful example.
4. Lessons Learned
Prompt engineering is the key you need to use Large Language Models in the most effective way. Review some of the key take-aways from this class and continue practicing!
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