Tip Engineering Guide
Prompt Engineering Guide is a project initiated by DAIR.AI to help R&D and industry stakeholders understand Prompt Engineering. AI's vision is to empower a new generation of AI innovators with the goal of disseminating AI technology and research results. The free and open source Hint Engineering project has been starred by more than 30,000 people on GitHub and contains all the latest papers, study guides, talks, references, and tools related to LLM Hint Engineering.
Catalog of Prompt Engineering Guide (Prompt Engineering Guide)
I. Introduction to the Tip Project
- Large Language Model Setup
- basic concept
- Elements of the cue
- General tips for designing prompts
- Examples of prompts
II. Cueing techniques
- Zero Sample Tip
- Less Sample Tips
- Chain Thinking (CoT) Tips
- self-consistency
- Generating Knowledge Tips
- Tree of Thoughts
- Search Enhanced Generation
- Automated reasoning and tool use
- Autosuggestion Engineer
- Active-Prompt
- Directional stimulus cues
- ReAct Framework
- A multimodal thought chain cueing approach
- Graph-based tips
III. Tip application
- procedural auxiliary language model (PALM)
- Generate data
- Generating Code
- Graduate Job Classification Case Study
- Prompt Function
IV. Models
- Flan
- ChatGPT
- LLaMA
- GPT-4
- Model Collection
V. Risks and misuse
- Confrontational Tips
- validity
- bias
data statistics
Data evaluation
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