I'm excited to share an open-source course I've created that walks you through building an Agentic Call Center from the ground up.
The course is divided into five lessons covering core architecture, FastRTC for WebRTC and WebSocket connections, plus integrations with Twilio, Superlinked, Qdrant, and more.
Excited to share one of my latest projects.I'm recreating famous philosophers and historical thinkers inside a video game simulation. It's been wild bringing these iconic minds to life in a whole new way.
Just wanted to share the open source course we are launching in GitHub, YouTube and Substack. It's about building a multimodal agent connected to WhatsApp taking inspiration from the movie Ex Machina (that's why it's called Ava xD).
The course is structured in 6 lessons, that we are launching every Wednesday (of course, everything is 100% free haha).
A YouTube playlist containing an implementation of the 4 agentic patterns using pure Python and Groq LLMs. You have the Reflection Pattern, the Tool Pattern and the Planning Pattern already available ... working on the Multiagent Pattern right now :)
hey! I thought the diagram was clear, but I can see it's not. Thanks for the advise!! I'll try to change it so that it's clear we are using just one agent :)
They offer a lot of top LLMs for free. That's the reason why. I mean, I'm using llama3.1 fine tuned for tools completely free. That's the reasoning behind haha But you could choose any other. At first I was thinking about Ollama, but Groq came as a great choice.
I'm excited to share an open-source course I've created that walks you through building an Agentic Call Center from the ground up.
The course is divided into five lessons covering core architecture, FastRTC for WebRTC and WebSocket connections, plus integrations with Twilio, Superlinked, Qdrant, and more.
Hope you find it useful!