A one-day workshop to build conversational AI services with the NVIDIA® Riva framework

Conversational AI is the technology that powers automated messaging and speech-enabled applications. Its applications are used in diverse industries to improve the overall customer experience and customer service efficiency.

Conversational AI pipelines are complex and expensive to develop from scratch. With Riva, developers can create customized language-based AI services for intelligent virtual assistants, virtual customer service agents, real-time transcription, multi-user diarization, chatbots, and much more.

You’ll also learn how to quickly build and deploy a conversational AI pipeline including transcription, NLP, and speech. You’ll explore automatic speech recognition (ASR) and text-to-speech (TTS) models and their customization in detail with the NVIDIA NeMo framework and learn how to deploy the models with Riva. 

Finally, you’ll explore the production-level deployment performance and scaling considerations of Riva services with Helm charts and Kubernetes clusters.

Note: Bring your laptop to participate in the workshop exercises.
 

A NVIDIA Workshop, hosted by the UCSC Silicon Valley Extension AI Program

WHO WILL BENEFIT FROM THE WORKSHOP

All are welcome, but you’ll want some basic Python programming experience, a fundamental understanding of a deep learning framework such as TensorFlow, PyTorch, or Keras, and a basic understanding of neural networks to fully benefit. If you’ve taken Deep Learning or another AI Specialization courses with Extension, you’ll be ready.

TAKEAWAYS

At the conclusion of the course, participants should be able to:

• Customize and deploy ASR and TTS models on Riva.
• Build and deploy an end-to-end conversational AI pipeline, including ASR, NLP, and TTS models, on Riva.
• Deploy a production-level conversational AI application with a Helm chart for scaling in Kubernetes clusters.

SPEAKER

Xi “Bill” Chen, Ph.D., Senior Software Engineer at Meta