Blare

Hey everyone! I'm diving into machine learning, focusing on Large Language Models, their architecture like transformers and self-attention, and how they differ from other AI methods like diffusion models.

I want to explore how LLMs can go beyond their usual capabilities, especially with agents. I'm excited about AI making development easier — but I believe it's key to understand the code deeply. Syntax, structure, the fundamentals.

That way I can use AI as a smart tool and strategist, aligning with machine learning's core as a universal function approximator.