Train Adapt, Optimize: TAO

More of interest on the NVIDIA TAO effort:

Fast Track AI Model Adaptation with TAO

Building a state-of-the-art deep learning model is a complex and time-consuming process. To achieve this, large datasets collected for the model must be of high quality. Once the data is collected, it must be prepared and then trained, and optimized over several iterations. This is not always an option for many enterprises looking to bring their AI applications to market faster while reducing operational costs.

NVIDIA TAO is being developed to address these challenges. NVIDIA Train, Adapt, and Optimize (TAO) is an AI model adaptation platform that simplifies and accelerates the creation of enterprise AI applications. By fine-tuning state-of-the-art pre-trained models created by NVIDIA experts with custom data through a UI-based, guided workflow, you can produce highly accurate computer vision, speech, and language understanding models in hours rather than months, eliminating the need for large training runs and deep AI expertise.

As a managed and guided workflow, TAO lowers the barrier to building AI by unifying key existing NVIDIA technologies, such as pre-trained models from the NGC catalog, Transfer Learning Toolkit (TLT), Federated Learning with NVIDIA Clara, and TensorRT.

Registration for the Early Access Program is now open. Later this year we will begin accepting applicants into the program which will provide you with an exclusive opportunity to collaborate with the NVIDIA product team to help shape TAO.

Key Highlights of the Early Access Program:

Access to state-of-the-art accurate pre-trained models that can be customized for your use case

Access to compute infrastructure

Hands-on support to help you navigate through the entire process

Apply to the TAO Early Access Program here.  https://developer.nvidia.com/TAO-early-access   ...