Jarvis has been built using models trained for several million GPU hours on over 1 billion pages of text, 60,000 hours of speech data, and in different languages, accents, environments and lingos to achieve world-class accuracy. It opens the door to the creation of such services as digital nurses to help monitor patients around the clock, relieving overloaded medical staff online assistants to understand what consumers are looking for and recommend the best products and real-time translations to improve cross-border workplace collaboration and enable viewers to enjoy live content in their own language. NVIDIA Jarvis will enable a new wave of language-based applications previously not possible, improving interactions with humans and machines. NVIDIA Jarvis brings this state-of-the-art conversational AI out of the cloud for customers to host AI services anywhere.” “Deep learning breakthroughs in speech recognition, language understanding and speech synthesis have enabled engaging cloud services.
“Conversational AI is in many ways the ultimate AI,” said Jensen Huang, founder and CEO of NVIDIA. Utilizing GPU acceleration, the end-to-end speech pipeline can be run in under 100 milliseconds - listening, understanding and generating a response faster than the blink of a human eye - and can be deployed in the cloud, in the data center or at the edge, instantly scaling to millions of users.
With billions of hours of phone calls, web meetings and streaming broadcast video content generated daily, NVIDIA Jarvis models offer highly accurate automatic speech recognition, as well as superhuman language understanding, real-time translations for multiple languages, and new text-to-speech capabilities to create expressive conversational AI agents.
GTC - NVIDIA today announced availability of the NVIDIA Jarvis framework, providing developers with state-of-the-art pre-trained deep learning models and software tools to create interactive conversational AI services that are easily adaptable for every industry and domain.
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