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NVIDIA announces availability of Jarvis interactive conversational AI framework
Pre-trained Deep Learning models and software tools enable developers to adapt Jarvis for all industries .
NVIDIA has announced the availability of the NVIDIA Jarvis framework , providing developers with state-ofthe-art pre-trained Deep Learning models and software tools to create interactive conversational AI services that are easily adaptable for every industry and domain .
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 .
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 .
“ Conversational AI is in many ways the ultimate AI ,” said Jensen Huang , Founder and CEO of NVIDIA . “ Deep Learning breakthroughs in speech recognition , language understanding and speech synthesis have enabled engaging cloud services . NVIDIA Jarvis brings this state-ofthe-art conversational AI out of the cloud for customers to host AI services anywhere .”
NVIDIA Jarvis will enable a new wave of language-based applications previously not possible , improving interactions with
CONVERSATIONAL AI IS IN MANY WAYS THE ULTIMATE AI .
humans and machines . 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 .
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 worldclass accuracy . For the first time , developers can use NVIDIA TAO , a framework to train , adapt and optimize these models for any task , any industry and on any system with ease .
Developers can select a Jarvis pre-trained model from NVIDIA ’ s NGC catalog , finetune it using their own data with the NVIDIA Transfer Learning Toolkit , optimize it for maximum throughput and minimum latency in real-time speech services and then easily deploy the model with just a few lines of code so there is no need for deep AI expertise .
Since Jarvis ’ early access program began last May , thousands of companies have asked to join . Among early users is T-Mobile , the US telecom giant , which is looking to AI to further augment its Machine Learning products using natural language processing to provide real-time insights and recommendations .
Matthew Davis , Vice President of Product and Technology , T-Mobile , said : “ With NVIDIA Jarvis services , fine-tuned using T-Mobile data , we ’ re building products to help us resolve customer issues in real time .” p
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