Breaking

Stanford Releases 2-Hour Course on Building LLMs From Scratch

November 5, 2026 at 19:45 EST

Education
Foundation Models

Stanford has released a roughly two-hour course that walks learners through building large language models (LLMs) from scratch, according to a social media announcement that has circulated among AI practitioners.

Stanford · AI education

A two-hour course on building large language models from scratch

The course reportedly walks learners from raw text to a working model, covering tokenization, prompt decoding, the training pipeline, and architecture built from the ground up.

~2 hrs

Reported running time of the course

Core areas covered, from text input to architecture

From raw text to a working model

The four covered areas, in the order described

Raw text

→

1. Tokenization

→

2. Prompt decoding

→

3. Training pipeline

→

4. Architecture

→

Working model

What is not yet known

Key details remain unconfirmed, so the course's reach and depth cannot yet be assessed.

Instructors

Not identified

Hosting platform

Not identified

Release date

Not identified

Public access

Not confirmed

Why it stands out

It connects tokenization, decoding, training, and architecture in one session, offering a general audience an end-to-end view rather than isolated concepts.

Open questions

How technical the material is in practice, how long it runs in full, and whether it will be updated as LLM methods change.

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