使用 Amazon Bedrock 创建异步 AI 代理

The integration of generative AI agents into business processes is poised to accelerate as organizations recognize the untapped potential of these technologies. Advancements in multimodal artificial intelligence (AI), where agents can understand and generate not just text but also images, audio, and video, will further broaden their applications. This post will discuss agentic AI driven architecture and ways of implementing.

随着组织认识到这些技术未被开发的潜力，生成性AI代理的整合进入商业流程的步伐将加快。多模态人工智能（AI）的进步，使代理不仅能够理解和生成文本，还能处理图像、音频和视频，将进一步拓宽其应用范围。本文将讨论代理驱动的AI架构及其实施方式。

The emergence of generative AI agents in recent years has contributed to the transformation of the AI landscape, driven by advances in large language models (LLMs) and natural language processing (NLP). Companies like Anthropic, Cohere, and Amazon have made significant strides in developing powerful language models capable of understanding and generating human-like content across multiple modalities, revolutionizing how businesses integrate and utilize artificial intelligence in their processes.

近年来生成性 AI 代理的出现促进了 AI 领域的转型，这得益于大型语言模型（LLMs）和自然语言处理（NLP）的进步。像 Anthropic、Cohere 和 Amazon 这样的公司在开发能够理解和生成类人内容的强大语言模型方面取得了重大进展，彻底改变了企业在其流程中集成和利用人工智能的方式。

These AI agents have demonstrated remarkable versatility, being able to perform tasks ranging from creative writing and code generation to data analysis and decision support. Their ability to engage in intelligent conversations, provide context-aware responses, and adapt to diverse domains has revolutionized how businesses approach problem-solving, customer service, and knowledge dissemination.

这些AI代理展示了显著的多功能性，能够执行从创意写作和代码生成到数据分析和决策支持的任务。它们能够进行智能对话，提供上下文感知的响应，并适应多样化的领域，彻底改变了企业解决问题、客户服务和知识传播的方式。

One of the most significant impacts of generative AI agents has been their potential to augment human capabilities through both synchronous and asynchronous patterns. In synchronous orchestration, just like in traditional process automation, a supervisor agent orchestrates the multi-agent collaboration, maintaining a high-level view of the entire...