Large Language Models (LLMs) are a hot Generative AI topic and everyone wants them in their WebRTC application! Use cases range from real-time in-call assistance to contact center agents, passing through post-call analysis, and even powering voice bots that are capable of answering calls without any human intervention.

The newest WebRTC Tips by WebRTC.ventures video walks us through the technical components of how to integrate an LLM into a WebRTC application integration using Nebula, a powerful LLM from our partner, Symbl.ai. However, the concepts are applicable to whichever model you prefer.

At the end of the day, integrating an LLM into a real-time communication application is all about converting the audio inputs into text with the help of a speech-to-text mechanism like the one available in Symbl.ai Streaming API, and then feeding the resulting transcript into an LLM such as Nebula.

Watch the video!

Call on the Generative AI integration experts at WebRTC.ventures.

If you’re looking into integrating an LLM into your existing real-time communication application or you’re building one from scratch, contact the experts are WebRTC.ventures.

Interested in more WebRTC Tips videos? Check out the full playlist on YouTube.