mtrofficus

Hey!

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!

Tired of tutorials that just walk you through connecting an existing MCP server to Claude Desktop?

Yeah, us too.

That's why we built Kubrick AI, an MCP Multimodal Agent for video processing tasks.

Yes! You read that right:

Agents + Video Processing ... and MCP!

Hey everyone!

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.

Hope you like it!

Hey guys!

I wanted to share the open-source course we've built, where you'll learn how to build an AI Companion using these technologies:

1. LangGraph (defining all the agentic workflow) 2. Qdrant (long-term memory) 3. Groq (as LLM provider, so free :)) 4. ElevenLabs (for the TTS module) 5. Whisper (for the STT module) 6. FLUX models (for image generation)

Let me know what you think!!

Hi there!

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).

Let me know what you think!!

This project shows you how to make Llama 3.1 8B speak like Rick Sanchez by:

1. Creating a custom dataset from Rick and Morty transcripts in ShareGPT format

2. Finetuning the model using Unsloth's optimizations on Lambda Labs GPUs

3. Converting and deploying the model to Ollama for local use

It's a fun way to learn LLM finetuning while creating your own Rick-speaking AI assistant.

Wubba lubba dub dub!

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 :)

The code for all the videos is available in this repo: https://github.com/neural-maze/agentic_patterns

Hope you like it!!

thanks!! glad you liked it :)

“on a site” referring to Medium xD. Welcome to 2024.

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 :)

In the Medium article I'll show you how I programmed some simple Sketch scripts and uploaded to my Arduino UNO using crewAI Agents.

This is a funny project I made one evening: applying Image Search in Qdrant to play Mario Kart 64 using mupen64plus.

ups, you're right. Sorry for that.

Much better explained than my own comment xD

100% amazing

That's from Groq documentation:

"In fact, our name comes from the word “grok” which means the ability “to understand profoundly and intuitively.”"

hahahha wow, that's hard: "pseudointellectual names". I mean, didn't reflect about the naming. Just the fact that it offered a lot of LLMs for free xD

I'm using Groq, not Grok xD

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.

glad you find it useful :)

peace man xD I mean, I didn't want to make a new framework, just try to offer some educational value. But sure, the code needs a refactor! :)

yep!!

I wanted to share a GitHub repository I've started a couple of months ago where I'm implementing, from scratch, the 4 agentic patterns as defined by Andrew Ng: Reflection pattern, Tool pattern, Planning pattern and Multiagent pattern.