2023 TaskWeaverACodeFirstAgentFramew
- (Qiao et al., 2023) ⇒ Bo Qiao, Liqun Li, Xu Zhang, Shilin He, Yu Kang, Chaoyun Zhang, Fangkai Yang, Hang Dong, Jue Zhang, Lu Wang, Minghua Ma, Pu Zhao, Si Qin, Xiaoting Qin, Chao Du, Yong Xu, Qingwei Lin, Saravan Rajmohan, and Dongmei Zhang. (2023). “TaskWeaver: A Code-First Agent Framework.” doi:10.48550/arXiv.2311.17541
Subject Headings: TaskWeaver Framework.
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Abstract
Large Language Models (LLMs) have shown impressive abilities in natural language understanding and generation, leading to their use in applications such as chatbots and virtual assistants. However, existing LLM frameworks face limitations in handling domain-specific data analytics tasks with rich data structures. Moreover, they struggle with flexibility to meet diverse user requirements. To address these issues, TaskWeaver is proposed as a code-first framework for building LLM-powered autonomous agents. It converts user requests into executable code and treats user-defined plugins as callable functions. TaskWeaver provides support for rich data structures, flexible plugin usage, and dynamic plugin selection, and leverages LLM coding capabilities for complex logic. It also incorporates domain-specific knowledge through examples and ensures the secure execution of generated code. TaskWeaver offers a powerful and flexible framework for creating intelligent conversational agents that can handle complex tasks and adapt to domain-specific scenarios. The code is open-sourced at this https URL.
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| Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2023 TaskWeaverACodeFirstAgentFramew | Qingwei Lin Dongmei Zhang Chao Du Bo Qiao Liqun Li Xu Zhang Shilin He Yu Kang Chaoyun Zhang Fangkai Yang Hang Dong Jue Zhang Lu Wang Minghua Ma Pu Zhao Si Qin Xiaoting Qin Yong Xu Saravan Rajmohan | TaskWeaver: A Code-First Agent Framework | 10.48550/arXiv.2311.17541 | 2023 |