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
pgalko/BambooAI
BambooAI is an open-source Python library designed to facilitate conversational data discovery and analysis using Large Language Models (LLMs). It enables users to interact with their datasets or external data sources through natural language queries, making data analysis accessible even to those without programming expertise. The library supports loading local datasets or fetching data from external APIs and the internet, integrating search capabilities to enhance data exploration. The core functionality of BambooAI revolves around processing natural language questions about data, generating and executing Python code for analysis and visualization, and providing insightful answers and visual outputs. It operates through a multi-step agent process that includes task classification, dynamic prompt building, code generation, debugging, execution, and result presentation. The system can correct errors in generated code iteratively and store high-quality question-answer pairs in a vector database for improved future responses. BambooAI supports various AI model vendors and can work with both API-based and local models, including OpenAI, Google Gemini, Anthropic, Groq, Mistral, Ollama, and others. Users can configure the preferred model and vendor via a configuration file. The library offers features like context memory for conversations, debugging options, internet search integration, vector database ranking, and ontology-based dataframe understanding to enhance performance. The project includes examples such as building machine learning models (e.g., Titanic survival prediction) with automatic metric visualization and supports interactive use in environments like Jupyter Notebooks and Google Colab. BambooAI aims to augment data analysts' capabilities by simplifying data analysis workflows, making it easier to derive insights through conversational interfaces and AI-driven automation. Keywords extracted include: conversational data discovery, data analysis, Large Language Models, LLM, Python library, natural language queries, data visualization, code generation, debugging, vector database, internet search, machine learning, AI models, API integration, ontology, data exploration, interactive analysis, open-source.
https://github.com/pgalko/BambooAI
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