Shypd.aiThe largest open index of AI toolsGorilla is an AI Agents & Automation tool that trains and evaluates large language models (LLMs) for function calls, enabling them to use APIs. It provides a comprehensive framework for connecting LLMs with massive API collections and evaluating their performance.
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Gorilla is a powerful framework designed for training and evaluating Large Language Models (LLMs) to effectively utilize APIs through function calls. It allows LLMs to identify and invoke semantically and syntactically correct APIs based on natural language queries, significantly reducing hallucination. The project offers inference code for running fine-tuned Gorilla models, evaluation code for reproducing research results, and APIBench, a vast collection of APIs for training. Since its inception, Gorilla has seen widespread adoption, expanding to include tools, evaluations, leaderboards, end-to-end fine-tuning recipes, and infrastructure components like the Gorilla API Store. It also features the Berkeley Function Calling Leaderboard (BFCL) for comprehensive evaluation and the Agent Arena for comparing LLM agents.
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