HomeResearch LibraryLarge Language Models as Tool Makers
Chapter 5 · 2023

Large Language Models as Tool Makers

Tianle Cai, Xuezhi Wang, Tengyu Ma

Abstract

LATM (LLMs As Tool Makers) enables LLMs to create their own reusable tools for problem-solving, separating tool creation from tool use with a dispatcher that routes tasks to appropriate tools.

Eigenvector Breakthrough — Zone III / PASF-PADE AnalysisNot part of the original paper
Eigenvector Research — Marco van Hurne
How this paper contributes to solving the Zone III problem (PASF-PADE)

LATM introduces a capability that is underappreciated in enterprise AI: agents that build their own tools. In Zone III deployments, the agent's tool library is a strategic asset. An agent that can extend its own capabilities — creating new tools for novel situations — is fundamentally more robust than one limited to a fixed toolset. The dispatcher pattern is directly applicable to enterprise tool governance.

Why AI is not sufficient for Zone III without this

Zone III refers to high-complexity, high-risk, long-running agentic workflows — the class of enterprise AI deployments where a single failure can cascade across hundreds of steps. Standard AI models, trained to predict the next token, are not inherently designed for durable, governed, multi-step execution. This paper addresses one or more of the structural gaps that make Zone III deployments unsafe without explicit architectural intervention.

Topics

tool creationtool usecode generationreusable tools