Unlock the Full Potential of Conversional AI with Tencent RTC

Recently, GPT-4o was released, and its real-time effects in real-time speech translation, solving mathematical problems, and other scenarios are impressive. In these real-time interactive scenarios, it is crucial to integrate real-time communication (RTC) technology. RTC ensures that the large language model (LLM) can receive and process user data with minimal delay, thereby providing a seamless and efficient user experience.

Why Does GPT-4o Need RTC?

Superior Real-Time Performance 💨

In the RTC application of GPT-4o, particularly in input scenarios, the LLM needs to receive user video data in real-time. Since the speed at which humans generate content cannot be accelerated, RTC is seen as an essential solution to reduce latency by 100-200 milliseconds.

Weak Network Resistance Strategies 🛜

When network conditions are good, the latency difference is minimal. However, under poor network conditions, the latency difference can significantly increase. For example, when a data packet is lost, the round-trip delay can increase by 200 milliseconds, and if another packet is lost, the delay can increase by another 20 milliseconds. TCP (Transmission Control Protocol) accumulates the previous delays, leading to an increase in total delay. RTC employs various weak network resistance strategies to address poor network conditions, including retransmission strategies and voice prediction completion techniques. These strategies ensure stability and smoothness in weak network environments.

Ability to Handle Interruptions 🤚

RTC is particularly well-suited for handling interruption scenarios, enabling smooth interaction in real-time communication. Streaming transmission is essential for such scenarios, while CDN (Content Delivery Network) is not suitable for handling interruptions.

Tencent Conversational AI Solution

Due to RTC's unique advantages in real-time, weak network resistance and interruption handling, Tencent RTC provides a full range of Conversational AI solutions, covering a wide range of applications from call centers, online education to social entertainment and productivity tools.

Conversational AI Solution Architecture Diagram

1. Audio Receives and Publish 🔊

The Client Application captures audio through the RTC Engine SDK and publishes it to Tencent RTC Cloud. After receiving the audio, Tencent RTC Cloud sends it to Tencent RTC AI Service for processing.