Tagged: ai

Building my own LLM, because why not?

A while back, I decided to train a language model from scratch—not fine-tuning, not LoRA-adapting—but building it all out: initializing weights to noise and building a custom tokenizer from my own corpus. The goal was deeply technical and slightly irrational: I wanted to understand what happens *inside* these models. Not just at the API level, but during those 2 AM moments when the loss curve starts behaving weirdly.

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Integrating locally running LLM in Go tools to scan Golang modules

I was writing Go applications since 2016 and I was able to go thru various dependencies management systems including famous at some point DEP and now built-in go modules. While go dependency management came long road in language history it still has one major flaw – all dependencies are downloaded from Internet, mostly from github […]

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