During a recent onsite gathering of our team at the WebRTC.ventures Panama QA office, we did a deep dive into Prompt Engineering with John Berryman, an early engineer at GitHub Copilot and author of Prompt Engineering for LLMs: The Art and Science of Building Large Language Model-Based
The integration of conversational AI and agentic systems into WebRTC applications has evolved from a novel concept to an essential component in creating truly intelligent communication systems. The convergence of real-time communication, large language models (LLMs), and agentic AI systems has unlocked new opportunities for voice-based interfaces
Imagine having a conversation with a sophisticated AI assistant or agent without your words ever leaving your machine. No data being shipped to third-party servers. No LLM API costs. No added latency waiting for distant data centers to process your requests. If you’re concerned about confidential business
At TADSummit in Paris on October 19, 2023, I had the pleasure of moderating a panel discussion on the role of AI in Video and Voice communication applications. In this blog post, I’ll summarize our discussion and conclude with a few of the key insights I drew
