85/100Verified
YouTube·Tutorial·
Let's build GPT: from scratch, in code, spelled out.
by Andrej Karpathy
View original on YouTube →
Summary
This video explains ChatGPT's foundation as a probabilistic language model built on the Transformer architecture, introduced in the "Attention is All You Need" paper. The speaker outlines the process of building a simplified character-level Transformer language model from scratch, using the Tiny Shakespeare dataset, covering data preparation, tokenization, and the `nanogpt` codebase. The goal is to demystify how systems like ChatGPT function at a fundamental level.
Score Breakdown
Raw score: 85= 85/100
Automated Verification
40 / 40Prompt Test10
Code Execution—
Link Validation—
Tool Claims Check8
Version Accuracy—
AI Quality Analysis
36 / 40Originality6
Specificity8
Completeness7
Value Density8
Honesty Limitations7
Model: anthropic/claude-sonnet-4
Context Signals
9 / 20Freshness2
Author Track Record0
Genuine Engagement7
Verification Tests
PASSPrompt Testing1558ms
PASSPrompt Testing4380ms
PASSTool Claims Check12722ms