TypeChat:

How do we use AI to take a user request and turn it into something our apps can operate on? And how do we make sure our apps are safe, and doing work that developers and users alike can trust? TypeChat, an experimental library that aims to answer these questions. It uses the type definitions in your codebase to retrieve structured AI responses that are type-safe.

https://microsoft.github.io/TypeChat/blog/introducing-typechat/

Hugging Face:

The AI community building the future.

https://huggingface.co/

SAIF Framework from Google:

Google introduces the Secure AI Framework (SAIF), a conceptual framework for secure AI systems. SAIF addresses the need for clear industry security standards for building and deploying this technology in a responsible manner.

https://blog.google/technology/safety-security/introducing-googles-secure-ai-framework/

Aria Digital Twin:

Aria Digital Twin is an egocentric dataset captured using Aria glasses, with extensive simulated ground truth for devices, objects and environment.

https://www.projectaria.com/datasets/adt/

Llama 2 (from Meta)

The next generation of our open source large language model. Llama 2 is available for both research and commercial use.

https://ai.meta.com/llama/

PyTorch

PyTorch is used for a wide range of machine learning tasks, including image recognition, natural language processing, and robotics.

https://pytorch.org/

NVIDIA Earth-2

A full-stack, open platform that accelerates climate and weather predictions with interactive, high-resolution simulation. It includes physical simulation of numerical models like ICON and IFS; neural network models such as FourCastNet, GraphCast, and Deep Learning Weather Prediction

https://www.nvidia.com/en-us/high-performance-computing/earth-2

Top AI companies:

Nvidia: https://www.nvidia.com/en-gb/ai-data-science/

Open AI: https://openai.com/

Meta AI: https://ai.meta.com/

Microsoft Research: https://www.microsoft.com/en-us/research/

Google AI https://ai.google/