asgeirtj/system_prompts_leaks
This repository provides a collection of extracted system prompts from various large language models (LLMs) including Anthropic's Claude, OpenAI's ChatGPT, Google's Gemini, and xAI's Grok, updated ...
Awesome AI Agents › Prompt Libraries
microsoft/RD-Agent
RD-Agent is an open-source R&D automation tool developed by Microsoft aimed at enhancing industrial productivity in the AI era by automating high-value generic R&D processes focused on data and models. The project emphasizes automating critical aspects of industrial research and development, particularly in data-driven scenarios, to streamline the development of models and data. It introduces a framework with two key components: 'R' for proposing new ideas and 'D' for implementing them, facilitating the automatic evolution of R&D to generate significant industrial value. The tool supports various scenarios such as automatic quantitative factor generation, data mining agents that iteratively propose data and models, research copilots that automatically read and implement research papers and financial reports, and Kaggle agents for auto model tuning and feature engineering. The project provides live demos, video tutorials, and comprehensive documentation to help users understand and utilize its capabilities. It supports integration with multiple large language model (LLM) providers through LiteLLM backend and offers a health check feature to verify Docker installation and port availability. Installation is straightforward via PyPI or Docker, with configuration options for different GPT models and API services. The project fosters community engagement through official WeChat and Discord groups. Overall, RD-Agent aims to be a versatile and powerful tool to automate and accelerate R&D processes in industrial and data science contexts, leveraging AI to drive innovation and productivity.
https://github.com/microsoft/RD-Agent
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