---
title: "Post-training: what it means · The AI Compute Race · DRYBURGH"
source: https://dryburgh.com/vol1/glossary/post-training
description: "Post-training: The field's word for the training run itself, in which a model learns from its data, such as human text."
---

# Post-training

What does “Post-training” mean?

Post-trainingSee pre-training.

[Pre-training](https://dryburgh.com/vol1/glossary/pre-training) The field’s word for the training run itself, in which a model learns from its data, such as human text. Post-training is the work done on the model after it, such as reinforcement learning. *Chapter 2.*

From *The AI Compute Race*. [Read the book](https://dryburgh.com/vol1#buy)

## Sources that use it

- SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD, arXiv:2607.20145, submitted 22 July 2026, revised 19 August 2026 (post-training, not pre-training from scratch: an end-to-end optimization practice on the Ascend NPU SuperPOD with the DeepSeek-V4 family as the workload — 34.22 percent model FLOPs utilization, “a 2.93x improvement over the open-source baseline recipe” — and a continued-pre-training and SFT workflow on that infrastructure). [In the Sources](https://dryburgh.com/vol1/sources/research#arxiv-slai-trex)

## Related terms

- [Pre-training](https://dryburgh.com/vol1/glossary/pre-training)

From the glossary of The AI Compute Race.

- [Campuses](https://dryburgh.com/vol1/ledger)
- [Tests](https://dryburgh.com/vol1/tests)
- [Scorecard](https://dryburgh.com/vol1/scorecard)
- [Data](https://dryburgh.com/vol1/data/releases)
- [Chapter by chapter](https://dryburgh.com/vol1/companion)
- [The record at a glance](https://dryburgh.com/vol1/observatory)
- [The machine](https://dryburgh.com/vol1/machine)
- [One campus, four futures](https://dryburgh.com/vol1/hyperion)
- [Glossary](https://dryburgh.com/vol1/glossary)
- [People](https://dryburgh.com/vol1/people)
- [Sources](https://dryburgh.com/vol1/sources)
- [Notes](https://dryburgh.com/vol1/notes)
- [Where the book was wrong](https://dryburgh.com/vol1/corrections)
- [Where its sources were wrong](https://dryburgh.com/corrections?book=vol1)
- [The Paper](https://dryburgh.com/vol1/paper)
- [Consent](https://dryburgh.com/vol1/consent)
- [Who builds and pays](https://dryburgh.com/vol1/parties)

*The AI Compute Race: Five Races, One Machine* is a book by Lee S. Dryburgh, the first volume of THE COMPUTE ECONOMY, published by Dryburgh, an imprint of Contestra OÜ, Tallinn, Estonia; its record closes on 8 November 2026.

[About the book](https://dryburgh.com/vol1)[Tell me when it is out](https://dryburgh.com/vol1#notify)