Natural Language Processing and Dynamic Shapes for Inference Acceleration
In this talk, Ragesh will walk through a sample app from our open-source library of Jupyter Notebooks and show you how to use OpenVINO for chat, text-to-speech, and other Natural Language Processing (NLP) scenarios for accelerated inference.
AI Developer at Intel Corporation
Machine Learning Engineer with strong systems and software engineering background in building key components while turning ideas into products. Overall experience of 12 years in designing and delivering AI solutions operable in cloud architectures. Delivered re-usable components that can be deployed into services and made significant contributions building MLOps platforms with ML, NLP, Big Data Analytics and Software Engineering. Worked in the fields of Edge AI Inference Acceleration, Healthcare AI, Travel, Supply Chain and FinTech industries. Currently working as an AI developer and Evangelist with Intel Corporation, learning new technology trends and contributing towards the developer community