NVIDIA AI Platform Takes Conversational User Experience To A New Level
After breaking all the records related to training computer vision models, NVIDIA now claims that it’s AI platform is able to train a natural language neural network model based on one of the largest datasets in a record time. It also claims that the inference time is just 2 milliseconds which translates to an extremely fast response from the model participating in a conversation with a user.
After computer vision, natural language processing is one of the top applications of AI. From Siri to Alexa to Cortana to Google Assistant, all conversational user experiences are powered by AI.
The advancements in AI research is putting the power of language understanding and conversational interface into the hands of developers. Data scientists and developers can now build custom AI models that work exactly like Alexa and Siri but for a specialized and highly customized industry use case from the healthcare or legal vertical.
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Janakiram MSV is an analyst, advisor, and architect. Follow him on Twitter, Facebook and LinkedIn.
Design led transformation
5 年Definitely a big leap forward to expand the labeling problem in language. Coupled with Nvidia's high performance, if intent can be captured fast and accurately, surely next step is for machines to respond better. Chatbot conversations in my experience rarely progress beyond three interactions and yet remain helpful! Thank you for sharing.