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
In the previous posts of our Polybot.ai translator bot (“Polly”) series, we looked at AI + WebRTC product development, brand creation and UI, and also how to successfully build prompts for interacting with the Large Language Model (LLM). In this final post, we will take a look
Call for Speakers for the WebRTC & Real-Time Applications Track! The 2024 RTC Conference and Expo at the Illinois Institute of Technology (IIT) will be held October 8th – 10th, on the Illinois Institute of Technology’s Mies Campus in Chicago. As the conference celebrates its 20th anniversary,
Prompt engineering involves organizing text so that a Generative AI Large Language Model (LLM) can interpret input and generate an expected or desired output. Imagine a friend is making you a sandwich and you want them to prepare it just the way you like it. You say,
