What Will You Learn?
How to apply prompt engineering to effectively work with large language models, like ChatGPT
How to use prompt patterns to tap into powerful capabilities within large language models
How to create complex prompt-based applications for your life, business, or education
About This Course
Provider: Coursera
Format: Online
Duration: 18 hours to complete [Approx]
Target Audience: Beginners
Learning Objectives: By the end of this free course, students will have strong prompt engineering skills and be capable of using large language models for a wide range of tasks in their job, business, personal life, and education, such as writing, summarization, game play, planning, simulation, and programming.
Course Prerequisites: NA
Assessment and Certification: Earn a Certificate upon completion from the relevant Provider
Instructor: Vanderbilt University
Key Topics: Prompt Engineering, ChatGPT, Chain Of Thought Prompting, Prompt Patterns, Large Language Models
Topic Covered:
- - Overview of the
- - Motivating Example: Act as a Speech
- - Setting Up an Account and Using
- - What are Large Language Models?
- - Randomness in Output
- - What is a Prompt?
- - Intuition Behind
- - Everyone Can Program with
- - Prompt
- - The Persona
- - Introducing New Information to the Large Language
- - Prompt Size
- - Prompts are a Tool for Repeated
- - Root Prompts
- - Question Refinement
- - Cognitive Verifier
- - Audience Persona
- - Flipped Interaction Pattern
- - Few-shot
- - Few-shot Examples for
- - Few-Shot Examples with Intermediate
- - Writing Effective Few-Shot
- - Chain of Thought
- - ReAct
- - Using Large Language Models to Grade Each Other
- - Game Play
- - Template
- - Meta Language Creation
- - Recipe
- - Alternative Approaches Pattern
- - Ask for Input
- - Combining
- - Outline Expansion
- - Menu Actions
- - Fact Check List
- - Tail Generation
- - Semantic Filter
- - Course Conclusion
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