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Description:
This feature involves creating a Digital Human example that showcases real-time interaction capabilities using LLM, TTS, ASR, and video generation microservices. The Digital Human will be designed to respond dynamically and naturally to user inputs, enabling use cases such as livestream e-commerce and spoken language practice.
The implementation will include versions optimized for Intel Xeon and Gaudi hardware, leveraging their unique capabilities to achieve high-performance inference and seamless integration of the microservices. This example will demonstrate the potential of combining AI technologies to create engaging and interactive user experiences.
Tasks:
Design the Digital Human Workflow
Define the interaction flow between LLM, TTS, ASR, and video generation microservices.
Ensure low-latency, real-time processing for a smooth user experience.
Develop the Microservice Integration
Set up and configure microservices for LLM, TTS, ASR, and video generation.
Design APIs and communication protocols to enable seamless data exchange between services.
Optimize for Xeon and Gaudi Hardware
Leverage Xeon CPUs for general-purpose workloads and Gaudi accelerators.
Optimize model inference and data processing pipelines for each hardware platform.
Create Livestream and Language Practice Use Cases
Build a demo showcasing livestream e-commerce capabilities, such as responding to customer inquiries in real-time.
Develop a spoken language practice scenario with the Digital Human providing interactive feedback.
Testing and Validation
Conduct functional testing to ensure accurate responses and smooth interactions.
Benchmark performance on both Xeon and Gaudi hardware to validate optimization efforts.
Documentation and Deployment
Document the setup process, architecture, and usage of the Digital Human example.
Deploy the example in a demo environment for showcase and further testing.
Expected Outcomes:
Interactive Digital Human Prototype
A fully functional Digital Human example capable of real-time interactions.
Optimized Performance
Hardware-specific optimizations for Xeon and Gaudi ensuring high efficiency.
Real-World Use Case Demonstrations
Compelling examples of livestream e-commerce and spoken language practice.
The text was updated successfully, but these errors were encountered:
Priority
P2-High
OS type
Ubuntu
Hardware type
Gaudi2
Running nodes
Single Node
Description
Feature: Add Digital Human Example
Description:
This feature involves creating a Digital Human example that showcases real-time interaction capabilities using LLM, TTS, ASR, and video generation microservices. The Digital Human will be designed to respond dynamically and naturally to user inputs, enabling use cases such as livestream e-commerce and spoken language practice.
The implementation will include versions optimized for Intel Xeon and Gaudi hardware, leveraging their unique capabilities to achieve high-performance inference and seamless integration of the microservices. This example will demonstrate the potential of combining AI technologies to create engaging and interactive user experiences.
Tasks:
Design the Digital Human Workflow
Define the interaction flow between LLM, TTS, ASR, and video generation microservices.
Ensure low-latency, real-time processing for a smooth user experience.
Develop the Microservice Integration
Set up and configure microservices for LLM, TTS, ASR, and video generation.
Design APIs and communication protocols to enable seamless data exchange between services.
Optimize for Xeon and Gaudi Hardware
Leverage Xeon CPUs for general-purpose workloads and Gaudi accelerators.
Optimize model inference and data processing pipelines for each hardware platform.
Create Livestream and Language Practice Use Cases
Build a demo showcasing livestream e-commerce capabilities, such as responding to customer inquiries in real-time.
Develop a spoken language practice scenario with the Digital Human providing interactive feedback.
Testing and Validation
Conduct functional testing to ensure accurate responses and smooth interactions.
Benchmark performance on both Xeon and Gaudi hardware to validate optimization efforts.
Documentation and Deployment
Document the setup process, architecture, and usage of the Digital Human example.
Deploy the example in a demo environment for showcase and further testing.
Expected Outcomes:
Interactive Digital Human Prototype
A fully functional Digital Human example capable of real-time interactions.
Optimized Performance
Hardware-specific optimizations for Xeon and Gaudi ensuring high efficiency.
Real-World Use Case Demonstrations
Compelling examples of livestream e-commerce and spoken language practice.
The text was updated successfully, but these errors were encountered: