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
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,
Voicebots offer efficient resolution of common customer inquiries, making them an indispensable component of today’s customer service flows. In previous posts, we have seen how you enhance the capabilities of voicebots using the power of LLMs and also integrate such capabilities in a web interface using WebRTC,
Creating a brand that stands out is often as crucial as the innovation itself. At WebRTC.ventures, we recently embarked on an exciting journey to develop a unique brand identity for our latest creation, Polybot.AI. “Polly” seamlessly integrates WebRTC technologies with AI, offering real-time, on the go translation