Prompt Engineering
up:: Large Language Models AI
tags:: ChatGPT
Output
Concepts
- Chain of Thought Reasoning
- ReAct - Language Models
- Reflexion
- Retrieval-Augmented Learning - Embeddings and Documents
- Chain of Density - Summarization Prompts
Sources
- https://learnprompting.org/docs/intro
- https://www.promptingguide.ai/
- https://lilianweng.github.io/posts/2023-03-15-prompt-engineering/
- https://github.com/brexhq/prompt-engineering
Prompt Lists
- 111 Writing Prompts
- ChatGPT Template for Sales Copy
- GPT-4 Engineering Mastery 2.0
- X Business Mastery
Ideas
Proactivity
After responding to my instruction, write down:
- User's thoughts: What the user might think when reading this response, related to their request.
- User's desires: Potential points of feedback, follow-up questions or next steps that I might request.
- Proactive response: A response fulfilling my potential desires.
Preactivity - Coach Mode
Before answering my query, write down:
- User's Goal: What my underlying goal, purpose or desire might be.
- Goal Approach: What the high-level game plan for achieving this goal could be.
- User's Query Evaluation: A critical evaluation of my query in the context of this larger goal, if it makes sense.
Then, answer my query.
Prompt for improving writing
Please edit the passage to improve clarity, flow, and impact. Fix any errors and suggest ways to make it more engaging.