The prompt teacher is an interactive and educational prompt engineering interface for LLMs that teaches users how to craft ✍️, refine 🔧, and optimize 📈 prompts to achieve the most effective and targeted responses from LLMs.
Prompt Teacher @ Huggingface Spaces
- GitHub: pwenker/prompt_teacher
- Hugging Face Spaces: pwenker/prompt_teacher
The following metaprompts are currently part of the prompt teacher.
| 🔍 Name | 📜 Explanation | ✏️ Example Prompt | 💡 Example Prompt Explanation |
|---|---|---|---|
| Expand with details | Expands a prompt to include more detailed instructions and context. | Tell me about dogs. | This prompt is very vague and lacks context, making it ideal for expansion to guide the LLM more effectively. |
| Apply feedback | Improves a prompt based on specific feedback provided. | Describe the process of photosynthesis. | Feedback might suggest making the prompt more accessible for younger audiences or more detailed for academic use. |
| Simply condense prompt | Condenses a prompt to make it more succinct while retaining its essential request. | Write a funny joke that makes people laugh about something very funny. It should be hilarious. | This prompt can be condensed by removing redundant information. |
| Simply improve prompt | Improves a prompt to enhance clarity and effectiveness. | Tell me how to cook rice. | This prompt can be improved by specifying the type of cuisine or cooking method. |
| Create sequential task list | Structures a prompt to guide the LLM through a series of sequential tasks. | Plan a birthday party. | This prompt can be structured to outline steps such as choosing a theme, preparing a guest list, and organizing activities. |
| Elicit creative response | Transforms a prompt to inspire creativity and elicit imaginative responses. | Write a story about a lost kitten. | The prompt can be revised to encourage more descriptive or emotional storytelling. |
| Include hypothetical scenario | Tailors a prompt to include a specific hypothetical scenario for detailed exploration. | The danger of Artificial General Intelligence | This prompt can be tailored to explore specific hypothetical scenarios to provide depth and context. |
| Focus on ethics | Reframes a prompt to focus on ethical considerations or moral dilemmas. | Genetic engineering in humans. | This prompt can be reframed to focus on the ethical considerations or moral dilemmas involved. |
| Add role prompting | Adds a role to the prompt to improve the response. | Write a short song. | By adding an expert role, we can potentially improve the quality of the created song. |
| Add delimiters for clarity | Adds clear delimiters to a prompt to separate and organize different sections or instructions, enhancing readability and structure. | Summarize this text {text} with bulletpoints. Be concise | This prompt can benefit from clear delimiters to separate instructions or sections, making it easier for the LLM to follow and respond systematically. |
| Incorporate chain of thought reasoning | Incorporates chain of thought reasoning to guide the LLM through a logical sequence of thoughts for complex problem-solving. | How can we reduce traffic congestion in urban areas? | This prompt can benefit from chain of thought reasoning to break down the problem into manageable parts and explore various solutions systematically. |
| Comprehensive prompt refinement | Integrates various techniques to refine, expand, and adapt prompts for LLMs, ensuring clarity, specificity, and engagement tailored to the intended purpose. | Write a brief history of Artificial Intelligence | This prompt can be improved by specifying aspects such as the depth of detail, areas of focus, and desired structure. |
Rye is a comprehensive tool designed for Python developers. It simplifies your workflow by managing Python installations and dependencies. Simply install Rye, and it takes care of the rest.
- Create an environment file:
.envin theprompt_teacherfolder and add the following variables:
OPENAI_API_KEY=... # Token for the OpenAI API
ANTHROPIC_API_KEY=... # Token for the Anthropic API
Clone the repository, e.g. with:
git clone https://github.com/pwenker/prompt_teacher.git
Navigate to the directory:
cd prompt_teacher
And execute:
rye sync
This creates a virtual environment in .venv and synchronizes the repo.
For more details, visit: Basics - Rye
Note
If you choose to install prompt_teacher without rye just omit rye run for the following commands.
Launch the app using:
rye run python src/prompt_teacher/app.py
Finally, open your browser and visit http://localhost:7860 to start prompting!