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I'm passionate about demystifying AI and building educational resources that help developers understand complex concepts from first principles. My mission is to break down black boxes and show how things really work under the hood.
const patric = {
focus: ["AI Agents", "RAG Systems", "Web Development"],
philosophy: "No black boxes, real understanding",
approach: "Build it from scratch, learn the fundamentals",
techStack: {
languages: ["JavaScript", "TypeScript", "Python"],
interests: ["LLMs", "Vector Search", "Data Visualization"]
}
};|
Demystify AI agents by building them yourself. Learn function calling, memory, and ReAct patterns using local LLMs with no cloud dependencies. Tech: JavaScript, Local LLMs, Function Calling |
Build retrieval-augmented generation systems from the ground up. Real understanding of embeddings, vector search, and context-augmented generation. Tech: JavaScript, Vector Search, Embeddings |
|
Python implementation of AI agents from first principles. No frameworks, no cloud APIs, no hidden reasoning. Tech: Python, Local LLMs |
Build an AI communication analyzer from scratch to understand how AI products actually work. Tech: TypeScript, Local LLMs |
- Building educational content to demystify AI and LLMs
- Learning C to work with llama.cpp for local LLM implementations
- Exploring local LLM implementations and fine-tuning
- Open to collaborating on AI/ML projects
- Ask me about AI Agents, RAG, LLMs, or Web Development
"The best way to understand something is to build it from scratch."
I create educational content that strips away the mystery from complex technologies. Whether it's AI agents, RAG systems, or blockchain development, my goal is to help developers gain genuine understanding by building real implementations.
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