Our members are building the future of AI

A lightweight time-series modeling approach based on the MLP-Mixer architecture

Arize Phoenix is an open-source LLM tracing and evaluation tool, designed for AI developers to evaluate, experiment, and optimize AI applications in real-time.

Kepler (Kubernetes-based Efficient Power Level Exporter) uses eBPF to probe performance counters and other system stats, use ML models to estimate workload energy consumption based on these stats, and exports them as Prometheus metrics

Ragna is an open-source RAG-based (Retrieval-Augmented Generation) AI orchestration framework designed to bridge the gap between AI research and production deployment.

Ray is an open-source, unified compute framework that makes it easy to scale AI and Python workloads.

A project to further the reach of foundation models by providing a set of open, online, and evolving materials on how to use remote sensing foundation models for public good.

A recommender system for responsible prompting LLMs

Leveraging internet-scale data to help robots execute complex tasks in human-centered environments. Enabling non-experts to program robots.

Safeguard LLMs from acquiring unsafe knowledge and being exploited for malicious purposes.

OpenSSA is an open-source agentic AI framework that provides precise, reliable AI agents for industries like semiconductor, manufacturing and finance, where high accuracy and deterministic outcomes are crucial.

TrustyAI is an open-source toolkit designed for responsible AI.

A python library for customizable textual data preparation and evaluation tailored to generative language models.