Abhishek Sawarkar

Abhishek Sawarkar is responsible for the development and presentation of deep learning-focused content on the NVIDIA Riva SDK. His background is in computer vision and machine learning but currently he is working on the entire Riva multi-modal pipeline featuring ASR, NLP, TTS, and CV. He is a recent graduate from Carnegie Mellon University with a master’s degree in electrical and computer engineering.

Posts by Abhishek Sawarkar

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Achieving Noise-Free Audio for Virtual Collaboration and Content Creation Applications

The Maxine Audio Effects SDK enables applications that integrate features such as noise removal and room echo removal. 11 MIN READ
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Accelerating Inference with Sparsity Using the NVIDIA Ampere Architecture and NVIDIA TensorRT

○ TensorRT is an SDK for high-performance deep learning inference, and TensorRT 8.0 introduces support for sparsity that uses sparse tensor cores on NVIDIA… 8 MIN READ
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Continuously Improving Recommender Systems for Competitive Advantage Using NVIDIA Merlin and MLOps

This posts shares how NVIDIA Merlin components fit into a complete MLOps pipeline to operationalize a recommendation system… 12 MIN READ
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Accelerating Conversational AI Research with New Cutting-Edge Neural Networks and Features from NeMo 1.0

The 1.0 update brings significant architectural, code quality, and documentation improvements as well as a plethora of new state-of-the-art neural networks and… 9 MIN READ
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Building Transcription and Entity Recognition Apps Using NVIDIA Riva

In the past several months, many of us have grown accustomed to seeing our doctors over a video call. It’s certainly convenient, but after the call ends… 19 MIN READ
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Deploying a Natural Language Processing Service on a Kubernetes Cluster with Helm Charts from NVIDIA NGC

Conversational AI solutions such as chatbots are now deployed in the data center, on the cloud, and at the edge to deliver lower latency and high quality of… 12 MIN READ