IBM’s new foundation model, TSPulse, can go beyond standard forecasting tasks to detect anomalies, fill in missing values, classify data, and search recurring patterns. It’s also tiny enough to run on a laptop.
Docling simplifies document processing, parsing diverse formats — including advanced PDF understanding — and providing seamless integrations with the gen AI ecosystem.
IBM announces Granite 3.3, featuring a new speech-to-text model (Granite Speech 3.3 8B), enhanced reasoning capabilities in Granite 3.3 8B Instruct, and RAG-focused LoRA adapters for Granite 3.2. The release also includes activated LoRAs (aLoRAs) for improved efficiency and all models are open source.
Docling is a powerful open-source library for document processing, supporting diverse formats and advanced PDF understanding, with seamless integrations with the gen AI ecosystem.
Powering the future of open-source AI agent development. Discover, run, and compose AI agents from any framework. Build production-grade AI agents in both Python and Typescript. Join our community on Discord, BlueSky, and YouTube.
Qiskit is the world’s most popular software stack for quantum computing. Build circuits, leverage Qiskit functions, transpile with AI tools, and execute workloads in an optimized runtime environment.
Docling is a tool that parses documents and exports them to desired formats like Markdown and JSON. It supports various document formats and provides advanced PDF understanding, metadata extraction, and integration with LlamaIndex and LangChain for RAG / QA applications.
Docling is a tool that parses documents and exports them to desired formats like Markdown and JSON. It supports various document formats including PDF, DOCX, PPTX, Images, HTML, AsciiDoc, and Markdown.
Red Hat has launched Red Hat Enterprise Linux AI, a new platform designed to simplify AI model development, testing, and deployment, combining open-source tools and optimized hardware solutions.
