A Transformer Decoder does not generate a sentence all at once. It predicts one token. Then it...
A Transformer Decoder does not generate a sentence all at once.
It predicts one token.
Then it feeds that token back and predicts the next one.
That simple loop is the core of modern LLM generation.
Core Idea
Transformers changed AI because they stopped reading sequences one token at a time. Instead of...
One token at a time — a very well-read autocomplete. A large language model doesn't plan a whole...
Before we begin: The goal of this article is to help you understand how LLMs work in simple language....
An interactive guide to the architecture behind modern language models. Instead of predicting the...
A language model does not write text directly. Instead, it returns logits for the next token. The decoding algorithm decides how…
Linear Attention Hybrids, Text Diffusion, Code World Models, and Small Recursive Transformers
