Overview
Embark on a comprehensive crash course exploring the dynamic world of prompt engineering for GPT-3.5 and beyond. Master the art of crafting effective prompts to communicate seamlessly with Large Language Models. Delve into topics such as in-context learning, temperature adjustment, and various prompting techniques including few-shot, chain-of-thought, and zero-shot. Gain practical skills in text summarization, question answering, code generation, and image generation. Explore advanced concepts like program-aided language models and understand potential risks such as prompt injection, leaking, and jailbreaking. Engage in a Q&A session to solidify your understanding and boost your prompt engineering skills for various use cases in the realm of artificial intelligence.
Syllabus
Introduction to prompt engineering
Popular programming language
In-context learning
What are prompts?
Why prompt engineering?
First basic prompts
Temperature
Text summarization
Question Answering
Roleplaying
Code generation
Reasoning
Image generation
Few shots prompt
Chain of thoughts prompting
Zero-shot
Program-aided language model
Prompt injection
Prompt leaking
Jailbreaking
QnA
Taught by
Data Science Dojo