system architectureChapter 1arXiv · 2023
Gorilla: Large Language Model Connected with Massive APIs
Shishir G. Patil (UC Berkeley), Tianjun Zhang (UC Berkeley)
Abstract
We introduce Gorilla, a finetuned LLM that can write accurate API calls. Gorilla is trained on 1,600+ API documentation pages and outperforms GPT-4 on writing API calls.
Key Contributions
- →API-aware LLM fine-tuning
- →APIBench dataset
- →Retrieval-augmented API calling
Topics
API callingtool usecode generationenterprise integration
Relevance Scores
Long-Horizon Score80
Enterprise Score88
Completeness78
Paper Info
Year2023
VenuearXiv
Typesystem architecture
ChapterCh. 1
Authors2
Related Papers
ReAct: Synergizing Reasoning and Acting in Language Mod…
2023 · Ch.1
Reflexion: Language Agents with Verbal Reinforcement Le…
2023 · Ch.1
Tree of Thoughts: Deliberate Problem Solving with Large…
2023 · Ch.1
Toolformer: Language Models Can Teach Themselves to Use…
2023 · Ch.1
View all Chapter 1 papers →