Building Conversational AI Applications

In this workshop, you’ll 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.

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

Developers who use Python

• Basic Python programming experience
• Fundamental understanding of a deep learning framework, such as TensorFlow, PyTorch, or Keras
• Basic understanding of neural networks