Conversational AI solutions need to train complex models across multiple modalities. This requires a deployment solution that uses frameworks to capture and manage inputs from multiple sensors. The deployment needs to realize a micro services approach delivering easy integration and simple to use APIs. The catch, then, is to deliver this with high accuracy and real time response.
Over this day-long workshop, NVIDIA experts will take you through a detailed guided walkthrough starting with the state of conversational AI today, and then deep diving into the conversational building blocks.
We’ll also explore Industry use cases such as:
- Smart video conferencing with real-time translation and text-to-speech with photo animation “live portrait” and eye contact
- Enabling metaverse-ready AI avatars that are customizable and can communicate with customers, understanding their intent and then make meaningful recommendations
- Creating a unique custom voice for conversational AI chatbot with 30 minutes of audio data for training
- The NVIDIA Audio2Face Streaming Audio Player, which will enable a new generation of expressive facial animation from just an audio source powered by AI
Explore a hands-on walkthrough of the workflow involved in deploying of fine-tuned models and explore challenges related to performance optimization and scaling deployment. This will be followed by a session on efficiently developing and deploying Large-Scale Language Models like GPT3 to enable the build of domain-specific chatbots, personal assistants, and other AI applications that understand language with unprecedented subtlety and nuance.
