通用深度研究：自带模型与策略

摘要

深度研究工具是当今最具影响力且最为常见的智能代理系统之一。然而，我们观察到，迄今为止引入的每一个深度研究代理都是通过硬编码来执行特定的研究策略，且工具选择固定不变。我们在此提出通用深度研究（UDR），这是一种通用型智能代理系统，它能够封装任何语言模型，使用户无需额外训练或微调即可创建、编辑和优化完全自定义的深度研究策略。为了展示我们系统的通用性，我们为UDR配备了最小化、扩展化和深入化三种示例研究策略，并提供了一个用户界面，以促进对该系统的实验探索。

English

Deep research tools are among the most impactful and most commonly encountered agentic systems today. We observe, however, that each deep research agent introduced so far is hard-coded to carry out a particular research strategy using a fixed choice of tools. We introduce Universal Deep Research (UDR), a generalist agentic system that wraps around any language model and enables the user to create, edit, and refine their own entirely custom deep research strategies without any need for additional training or finetuning. To showcase the generality of our system, we equip UDR with example minimal, expansive, and intensive research strategies, and provide a user interface to facilitate experimentation with the system.

通用深度研究：自带模型与策略

Universal Deep Research: Bring Your Own Model and Strategy

摘要

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