AutoPrompt
Auto Prompt is a prompt optimization framework designed to enhance and perfect prompts for real-world use cases. It automatically generates high-quality detailed prompts tailored to user intentions, reducing manual effort in prompt engineering and addressing common issues like prompt sensitivity and ambiguity.
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GitHubDeveloper ToolsArtificial Intelligence
Description
Auto Prompt is a prompt optimization framework designed to enhance and perfect prompts for real-world use cases. It automatically generates high-quality detailed prompts tailored to user intentions, reducing manual effort in prompt engineering and addressing common issues like prompt sensitivity and ambiguity.
How to use AutoPrompt?
To use Auto Prompt, download the project, install dependencies, configure the language model, select an annotation approach, run the pipeline, and track the optimization progress. Follow the detailed setup instructions provided in the documentation.
Core features of AutoPrompt:
1️⃣
Prompt optimization
2️⃣
Prompt generation
3️⃣
Modularity and adaptability
4️⃣
Intent-based prompt calibration
5️⃣
Content generation
Why could be used AutoPrompt?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Movie review classification | ✅ | |
| # 2 | Chat moderation | ✅ | |
| # 3 | Data synthesis | ✅ | |
Who developed AutoPrompt?
Elad Levi, Eli Brosh, and Matan Friedmann are the authors of Auto Prompt, a framework for prompt tuning using Intent-based Prompt Calibration.