A comprehensive guide to MicroGPT, a minimal 200-line Python implementation that contains the complete algorithmic essence of training and running a GPT model, including dataset handling, tokenization, autograd engine, …
A comprehensive tutorial on implementing a GPT-style transformer from scratch, covering self-attention mechanisms, multi-head attention, and the complete architecture needed to build a language model capable of …
Building ChatGPT: A Comprehensive Guide to Large Language Models When you type a question into ChatGPT and press enter, what exactly happens behind that text box? This guide takes you through the entire pipeline of how …
Building Character-Level Language Models: From Bigrams to GPT-2 Character-level language models predict the next character in a sequence by learning patterns from training data. This tutorial builds these models …
Attention Is All You Need: The Transformer Architecture That Revolutionized AI The 2017 paper “Attention Is All You Need” introduced the Transformer architecture, fundamentally changing how we approach …
The Great LLM Debate: World Models or Sophisticated Pattern Matching? Large language models have sparked intense debate about their fundamental capabilities. Do they truly understand the world, or are they sophisticated …
