all AI news
Toolink: Linking Toolkit Creation and Using through Chain-of-Solving on Open-Source Model
March 19, 2024, 4:54 a.m. | Cheng Qian, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu
cs.CL updates on arXiv.org arxiv.org
Abstract: Large Language Models (LLMs) have demonstrated remarkable progress in utilizing tools, but their closed-source nature and high inference costs pose limitations on their adaptability, necessitating a valid method that leverages smaller, open-sourced models. In this paper, we introduce Toolink, a comprehensive framework that performs task-solving by first creating a toolkit and then integrating the planning and calling of tools through a chain-of-solving (CoS) approach. We first validate the efficacy of Toolink in harnessing the model's …
abstract adaptability arxiv costs cs.ai cs.cl framework inference inference costs language language models large language large language models limitations llms nature paper progress through toolkit tools type
More from arxiv.org / cs.CL updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Business Data Scientist, gTech Ads
@ Google | Mexico City, CDMX, Mexico
Lead, Data Analytics Operations
@ Zocdoc | Pune, Maharashtra, India