Our members are building the future of AI

Guidance for thoughtful use of Generative AI in research, identifying opportunities as well as risks and duties in both the development and use of these tools in academic research that aspires to positive societal impact.

A collaboration to red team the process of submitting ML reports. Come social engineer with us!

Earth-Observation and Weather Foundation Models

A series of code models trained by IBM licensed under Apache 2.0 license. Includes base pretrained and instruct models.

The IBM RAG Cookbook provides a compendium of tips, tricks, and techniques for implementing and optimizing Retrieval Augmented Generation (RAG) solutions. It is based on IBM's experience helping customers build enterprise-scale AI applications.

A tool to run your AI experiments anywhere: locally, on-prem clusters, or hybrid clouds. It is based on the Infrastructure as Code approach.

InstructLab is a model-agnostic open source AI project that facilitates contributions to Large Language Models (LLMs).

An open-sourced Arabic centric large language model with over 13 billion parameters.

Provides the required research infrastructure, facilitates AI.Factory-related research in close cooperation with industry, and establishes a place for exchange with stakeholders.

The Amber project includes a 7B English language model with the LLaMA architecture, an instruction-following model finetuned from LLM360-Amber, and a safety-finetuned instruction model using LLM360-AmberChat as the base.

Enabling Text-to-Image Generation with Complex and Detailed Prompts

A Diverse Herd of Distilled Models from Large-Scale Instructions