Notes from the long road of learning

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Latest from the Blog

From Chatbot to Agent: What Actually Changes

When most people start using LLMs, they build a chatbot. You type something. The model replies. You ask again. It replies again. At first, this feels impressive. It can explain code, summarize notes, rewrite emails, and answer questions in a way that feels smart and useful. But after some time, one limitation becomes very obvious.…

Understanding Transformers, the Engine of LLMs

Transformers are the backbone of modern AI models like GPT, Claude, Llama, and Gemini. Their core idea is straightforward: language only makes sense when you understand how words relate to each other. A transformer begins by turning each word into a vector that captures meaning — “coffee” sits closer to “tea” than to “mountain,” “king”…

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