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API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs
Feb. 26, 2024, 5:48 a.m. | Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Lu
cs.CL updates on arXiv.org arxiv.org
Abstract: There is a growing need for Large Language Models (LLMs) to effectively use tools and external Application Programming Interfaces (APIs) to plan and complete tasks. As such, there is tremendous interest in methods that can acquire sufficient quantities of train and test data that involve calls to tools / APIs. Two lines of research have emerged as the predominant strategies for addressing this challenge. The first has focused on synthetic data generation techniques, while the …
abstract api apis application arxiv benchmarking blend cs.ai cs.cl data interfaces language language models large language large language models llms programming tasks test tools train training type
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