Введение В предыдущих статьях серии мы разбирались, как компьютер работает с текстом: превращает слова в числовые представления, вычисляет сходство между документами и извлекает полезную информацию из текстовых данных. Но что насчёт изображений? К...

One of the most common claims about LLMs and AI agents is that they'll dramatically reduce the cost of software development. Instead of hiring more engineers, you can simply assign a task to a model and have it completed in minutes. I think there's ...

2.1 Error, loss functions, and why they are needed Error, Loss Functions, and Why We Need Them Any machine learning model comes down to a simple idea: it tries to describe reality using some function. That means there will always be a mismatch bet...

I'm excited to announce PrettyPrint, a small, zero-dependency PHP utility designed to format numeric arrays in a clean, readable style inspired by Python and the tensor-views you’ll see in PyTorch. Whether you're doing ML experiments, debugging dat...

RAG Retrieval-Augmented Generation is an AI method that combines a large language model LLM with an external knowledge base to produce more accurate, context-aware answers. The idea is simple: first we retrieve relevant information from documents or ...