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Chapter 5 · 2023

Gorilla: Large Language Model Connected with Massive APIs

Shishir G. Patil, Tianjun Zhang, Xin Wang

Abstract

Gorilla is a finetuned LLaMA-based model that surpasses GPT-4 on writing API calls. We introduce APIBench, a comprehensive dataset of HuggingFace, TorchHub, and TensorHub APIs.

Eigenvector Insight — 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)

Gorilla addresses a fundamental Zone III challenge: API hallucination. When an agent invokes a non-existent API endpoint or uses incorrect parameters, the workflow fails silently or catastrophically. The retrieval-aware training approach — where the model learns to look up API documentation before calling — is the right pattern for enterprise deployments where API contracts change frequently.

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

API callscode generationtool usefine-tuning