Prompt Refine is a playground for LLM (Language Model) experiments aiming to help users enhance the performance and effectiveness of their language models. This tool, inspired by Chip Huyen's book "Building LLM Applications for Production," offers a user-friendly interface for running and analyzing prompt experiments.

Key Features:

• Prompt Experimentation: Executes prompt experiments to enhance language model performance.
• Compatible with various models, including OpenAI, Anthropic, Together, Cohere, and local models.
• History Tracking: Stores experiment runs in the user's history for comparison with previous runs.
• Folder Organization: Establishes folders to efficiently organize and manage multiple experiments.
• CSV Export: Exports experiment runs as CSV files for further analysis.

Use Cases:

• Researchers and developers working with language models to optimize prompt designs.
• Data scientists and AI practitioners seeking to improve the performance of their language models.
• Individuals interested in exploring and experimenting with different prompt configurations for enhanced model outputs.

Prompt Refine offers a convenient and intuitive playground for conducting prompt experiments and refining language models.