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, …
Markov Chains: The Original Language Models Markov chains represent the foundational approach to language modeling that predates modern LLMs by decades. Understanding their mechanics reveals both the evolution of text …
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 …
Augmented Coding: Beyond the Vibes Kent Beck distinguishes between casual AI assistance and disciplined augmented coding through his ambitious B+ Tree implementation project. The difference transforms how developers …
The Great Vibecoding Debate: Do Typed Languages Really Help AI Programming? Article claiming typed languages are better for AI-assisted coding sparks heated debate about developer competence and LLM effectiveness. …
