Building Conversational AI Applications (Part 3 of 3)
This three-part workshop will teach you to quickly build and deploy a conversational AI pipeline including transcription, natural language processing (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 Riva services' production-level deployment performance and scaling considerations with Helm charts and Kubernetes clusters.
This third and final session session will work through performance, optimization, scaling, and production challenges.
Important
This is the third session of three-part course. Register for the series through session 1.
A laptop is required to participate. Students can borrow a laptop through the library’s Tech Lending program.
Prerequisites:
- Basic Python programming experience
- Fundamental understanding of a deep learning framework, such as TensorFlow, PyTorch, or Keras
- Basic understanding of neural networks
- Completion of Session 1 held on Oct 16
- Completion of Session 2 held on Oct 23
- Date:
- Wednesday, October 30, 2024
- Time:
- 1:00pm - 3:00pm
- Location:
- The Catalyst (Parks 199)
- Audience:
- Faculty Grad students & postdocs ISU staff Undergrads
- Categories:
- Workshop > The Catalyst
Office hours will be held for this class from 3-4 p.m., on Wednesdays, Oct 16, 23, and 30.
This workshop is part of a collaboration between Transitional AI Center (TrAC) and University Library to bring classes from the NVIDIA Deep Learning Institute to Iowa State. Questions about the program can be sent to trac@iastate.edu