LLM Prompt Library
The LLM Prompt Library is a comprehensive collection of highly experimental prompts, tools, and scripts designed for various machine intelligence models, including those from DeepSeek, OpenAI, Anthropic, Meta, Mistral, Google, xAI, and others. Created and maintained by Alex Bilzerian, this library serves as a playground for developers and researchers to explore and enhance their interactions with large language models (LLMs).
Key Features:
- Prompt Catalogue: A live catalogue of battle-tested prompt templates and development scripts for every major LLM.
- Community Tools: Includes tools like Prompt Validator, Prompt Mixer, Token Counter, and Prompt Analyzer to assist in prompt creation and evaluation.
- Iterative Improvement: Features like Prompt Evolution allow for automatic optimization of prompts through self-improvement cycles.
- Financial Metacognition: Analyze AI interpretations of financial prompts to detect biases and limitations.
Benefits:
- Enhanced Productivity: Streamline the process of creating and testing prompts for various AI models.
- Community Engagement: Contribute to and learn from a community of developers and researchers.
- Open Source: The library is distributed under the MIT License, promoting collaboration and innovation.
Highlights:
- Live demo available at LLM-Prompt-Library Demo
- Comprehensive documentation and support for users.
- Regular updates and community feedback integration.
