---
schema: 1
type: term
title: _large action models_
description: >-
  The captured material assigned to this term does not contain a passage that
  defines or explains **_large action models_**, so no evidence-grounded
  definition can be provided from the available sources.
canonical: >-
  https://liquidgold.cc/channel/everyinc/explore/term/large-action-models-516f2776d05e
markdown: >-
  https://liquidgold.cc/channel/everyinc/explore/term/large-action-models-516f2776d05e.md
llms: null
parent: 'https://liquidgold.cc/channel/everyinc/llms.txt'
channel: everyinc
updated: '2026-10-23T22:12:35.346Z'
language: null
children: []
---


# \_large action models\_

Canonical: https://liquidgold.cc/channel/everyinc/explore/term/large-action-models-516f2776d05e

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

## Definition

The captured material assigned to this term does not contain a passage that defines or explains **_large action models_**, so no evidence-grounded definition can be provided from the available sources.

&lt;Section title=&quot;How this entry is scoped&quot;&gt;The captured material assigned to this entry centers on prompt engineering — injecting domain knowledge into AI systems, building eval loops, and structuring prompts and custom GPT workflows. Within that captured material, the term **_large action models_** does not appear in any passage that defines or explains it, so this entry cannot responsibly attach a specific meaning to it from the available sources.&lt;/Section&gt;&lt;Section title=&quot;What the surrounding material does establish&quot;&gt;If you are exploring how this channel talks about capable, action-oriented AI systems, the closest grounded concepts in the captured material are:&lt;/Section&gt;- **Prompting as a discipline**: detailing your objective is prompting, and the practice is structured around a triangle of primitives — prompt, eval, and dataset.- **Workflows over mega-prompts**: routing each request to a small, single-purpose prompt in a DAG/graph workflow, rather than one giant prompt.- **Natural language as a programming layer**: prompts sit atop binary → assembly → C/C++ → high-level languages → scripts as a new natural-language layer of programming.&lt;KeyPoints&gt;- The captured material does **not** define _large action models_; no supported definition can be drawn from the assigned sources.- The related grounded material covers **prompt engineering**, eval loops, and **workflow/routing** structures for steering AI systems.&lt;/KeyPoints&gt;