---
schema: 1
type: term
title: '**fine-tuning**'
description: >-
  **Fine-tuning** is the practice of taking a language model that has already
  been trained and continuing its training on additional material so that its
  output shifts toward a particular style, domain, or task.
canonical: 'https://liquidgold.cc/channel/everyinc/explore/term/fine-tuning-a81346e9641d'
markdown: >-
  https://liquidgold.cc/channel/everyinc/explore/term/fine-tuning-a81346e9641d.md
llms: null
parent: 'https://liquidgold.cc/channel/everyinc/llms.txt'
channel: everyinc
updated: '2026-10-23T22:12:35.346Z'
language: null
children: []
---


# \*\*fine-tuning\*\*

Canonical: https://liquidgold.cc/channel/everyinc/explore/term/fine-tuning-a81346e9641d

Parent: [Channel index](https://liquidgold.cc/channel/everyinc/llms.txt)

## Definition

**Fine-tuning** is the practice of taking a language model that has already been trained and continuing its training on additional material so that its output shifts toward a particular style, domain, or task.

In the channel's captured material, **fine-tuning** appears in a conversation with novelist Robin Sloan about years spent tinkering with early language models — work that reshaped how he thought about language, creativity, and what a book actually is [^01a0f15b-0cce-7b92-8d60-bff9931bdd8b@52]. Fine-tuning is one way people take an existing model and push it toward a particular kind of text or behavior rather than building a new model from scratch, which is the spirit of the hands-on experimentation described in the episode [^01a0f15b-0cce-7b92-8d60-bff9931bdd8b@495].