The future of AI is Open! 🚀Here are 3 powerful open-source tools from IBM Research designed to help developers build amazing AI tech!

✨ BeeAI – A versatile platform for discovering, running, and building AI agents on any framework. Try-https://beeai.dev/
📊 DataPrep Kit – A must-have toolkit for preparing and optimizing data for LLMs. Try-https://lnkd.in/gYvuG3Cn
📄Docling – A robust library that simplifies document processing and parsing across various formats. Try-https://lnkd.in/gHcJuqMm

🐝 - 𝘽𝙚𝙚𝘼𝙄
An open-source platform, powered by the Agent Communication Protocol, that enables developers to discover, run, and compose AI agents from any framework. The project also includes its own, native BeeAI-framework for building agents in Python or TypeScript, which is optimized for open-source models.

🔗 - GitHub: https://ibm.co/4bHDhCo
🔗 - Linux Foundation AI & Data: https://ibm.co/4bHDi9q

🦆 - 𝘿𝙤𝙘𝙡𝙞𝙣𝙜
Built to help organizations extract meaningful insights from complex documents, Docling is an open-source package designed to make AI-powered document processing more accessible and efficient. Includes robust support for layout analysis, table extraction, and document conversion.

🔗 - GitHub: https://ibm.co/4iixbej
🔗 - Linux Foundation AI & Data: https://ibm.co/4ilfqei

🧰 - 𝘿𝙖𝙩𝙖 𝙋𝙧𝙚𝙥 𝙆𝙞𝙩 (𝘿𝙋𝙆)
A community-driven project meant to simplify unstructured data preparation for LLM application development, addressing the growing challenge of preparing diverse data (language, code, vision, multimodal) for fine-tuning, instruction-tuning, and RAG applications.

🔗 - Data Prep Kit Git Hub: https://ibm.co/4bHDiGs
🔗 - Linux Foundation AI & Data: https://ibm.co/4bHDk12