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在这篇文章中,我们将介绍AutoDev的设计理念、实证评估结果。 在传统的软件开发过程中,开发者需要手动执行测试、调试代码、提交代码等一系列繁琐的工作。 随着人工智能技术的发展,诸如 GitHub Copilot 这样的AI编程助手应运而生,为开发者提供代码建议和自动化辅助。 然而,现有的AI编程助手仍存在功能有限、缺乏上下文感知等局限。 为了填补这一空白,一群来自微软的研究者提出了AutoDev框架。 AutoDev框架让AI代理能够自主地与代码仓库进行交互,执行诸如文件编辑、构建、测试等复杂任务。 通过这种方式,开发者可以将更多精力投入到更高层次的规划和设计,而让AI代理负责执行具体的开发任务。 这将大大提高开发效率,开启AI自主开发的新时代。 Artificial intelligence (ai) technology's rapid advancement has significantly changed various industries' operations AI+IoT 是指基于大模型技术驱动的物联网系统,将 AI 的多模态数据处理、动态推理和智能优化能力与 IoT 的实时数据采集和设备控制深度融合,从而实现更高效、更智能的系统行为。

人工智能驱动科学创新(AI-Driven Scientific Innovation) 是指利用人工智能(AI)技术加速科学研究、发现和创新过程。 通过AI的强大计算能力、数据处理能力和模式识别能力,科学家和研究人员能够在多个领域实现突破性进展。

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