Blog Posts
将数据转化为解决方案：使用 Python 和人工智能构建智能应用程序
- Rifx.Online
- Programming , Technology , Machine Learning
- 05 Jan, 2025
一些金融分析师担心人工智能可能无法证明在该领域进行的大规模投资的合理性。虽然我理解他们的担忧，但我的看法有所不同。我既不是AI的乐观派，也不是悲观派——我相信AI有潜力推动创新、提升生产力，并带来可衡量的商业成果。 在我上一篇文章中，我探讨了大型语言模型（LLMs）如何用于结构化非结构化数据。这一次，我想更进一步：展示使用LLMs进行数据结构化的结果如何作为构建智能应用的基础。从而
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使用 PydanticAI 框架构建多代理 LLM 系统：创建人工智能系统的分步指南...
- Rifx.Online
- Programming , Generative AI , Data Science
- 05 Jan, 2025
Pydantic 是 Python 生态系统中的一股强大力量，拥有超过 2.85 亿次的月下载量，一直是 Python 项目中稳健数据验证的基石。现在，它的创造者正在进军前沿的 AI 领域，推出 Pydantic AI，这是一个旨在构建由生成式 AI 驱动的生产级应用程序的框架。在本文中，我们将深入探讨 Pydantic AI 的独特之处、其关键特性，以及它与其他
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关于人工智能船员的博客，写关于人工智能船员的博客 | 作者：Ryan A Ellis | Medium
- Rifx.Online
- Programming , Autonomous Systems , Generative AI
- 03 Jan, 2025
介绍 这篇博客的目的是简要展示我使用 crewAI 框架构建的内容以及使其工作的组件。我想测试一下我从 DeepLearning.AI 的短期课程 Multi AI Agent Systems with crewAI 中学到的知识
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掌握 CrewAI：利用多代理系统实现内容创作和营销工作流程自动化的综合指南 | 作者：Kshitij Kutumbe | Medium
- Rifx.Online
- Programming , Machine Learning , Autonomous Systems
- 03 Jan, 2025
CrewAI 是一个先进的框架，旨在以协调和高效的方式编排自主智能体。通过利用基于角色的智能体、任务和工具，CrewAI 使开发人员能够在内容创作、研究、客户服务等多个领域自动化复杂的工作流程。 完整代码链接： [https://github.com/kshitijkutumbe/Marketing\-AI\-Agent](https://github.com/kshitijkutu
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多代理人工智能高手：用 CrewAI 构建内容写作人工智能系统 | 作者：Kshitij Kutumbe | Medium
- Rifx.Online
- Programming , Machine Learning , Chatbots
- 03 Jan, 2025
在 AI 和语言模型的领域中，多代理系统涉及多个独立的参与者，每个参与者都由语言模型驱动，以结构化的方式进行协作。在本博客中，我们将深入探讨 Crew.AI，这是一个用于构建多代理应用的前沿框架。Crew.AI 使 AI 代理能够承担角色、共享目标，并协同工作，模拟一个协调良好的团队的动态。 架构 Crew.AI 的架构是模块化的，由多个关键组件组成，这些组件协同工作，创建一个
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2024年最具颠覆性的十大人工智能初创公司
- Rifx.Online
- Technology , AI , Innovation
- 03 Jan, 2025
想象一下，一个电动飞机在你头顶飞过的世界，人工智能能够实时转录医生与患者的对话，使医疗服务更加高效。听起来像是未来科技，对吧？其实，这些人工智能初创公司正在让这一切成为现实。 今年，我们见证了一些真正改变游戏规则的公司，通过开创性的技术推动各个行业向前发展，以我们从未想象过的方式塑造未来。而这些并不是像OpenAI或Mistral这样的知名企业（尽管它们也在颠覆市场！）。不，这份名单关注的是那
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2024 年人工智能驱动的网络抓取：用 Python 构建价值百万美元的自动化工具
- Rifx.Online
- Programming , Technology/Web , Data Science
- 03 Jan, 2025
精通下一代网络爬虫：从零到英雄，结合 AI 集成、反检测策略和真实案例研究 | 完整指南与代码示例 🚀 介绍：自动化数据收集的力量 在当今数据驱动的世界中，网页抓取已经从一种简单的数据收集技术演变为开发者、数据科学家和企业的重要技能。无论您是在构建一个人工智能驱动的研究工具、监控市场趋势，还是为机器学习模型收集训练数据，掌握网页抓取都是您开启网络数据巨大潜力的门户。
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OpenAIs Swarm（第二部分）：使用 Ollama 和 Pydantic 的直接、本地优先方法
- Rifx.Online
- Programming , Natural Language Processing , Chatbots
- 03 Jan, 2025
一个简短的代码参考以供构建。 TLDR: 结合Ollama和Swarm框架，呈现了一种以本地为优先的构建智能AI代理的方法。 Ollama可以在本地运行大型语言模型，确保隐私和控制，而Swarm则提供了一个结构化的环境，用于设计和管理AI代理。 我们以第一性原理的编程方法强调简单性和高效性，避免使用带来不必要抽象的复杂框架，从而增加使用的tokens数量，并延迟首次tok
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OpenAI的Swarm（第一部分）：简短的参考实现
- Rifx.Online
- Programming , Machine Learning , Autonomous Systems
- 03 Jan, 2025
一个简短的代码参考，用于构建。 字数：1350 | 预计阅读时间：8分钟 目录简介：多智能体系统的挑战 OpenAI的群体框架概述 [环境设置](https://
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Jupyter Agent 让我大开眼界。你未曾预见的人工智能革命。| 作者：Savvas Theocharous | 2024年12月 | 人工智能的进步
- Rifx.Online
- Programming , Data Science , Generative AI
- 03 Jan, 2025
易于获取，但难以置信。一旦你亲自体验过，你就会明白我在说什么！ 我想我们都听说过 AI Agents。它正在进入主流，并且已经成为一个新兴的流行词。不过，我向你保证，在我自己尝试过 Jupyter Agent 之后，它的能力绝对不容小觑。 什么是 Jupyter Agent？ [Jupyter Agent](https://huggingface.co/spaces/da
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什么是人工智能代理？构建自己的人工智能代理的分步指南。
- Rifx.Online
- Autonomous Systems , Data Science , Technology
- 03 Jan, 2025
下一个大趋势？ Gartner认为AI代理是未来。OpenAI、Nvidia和Microsoft对此寄予厚望——包括Salesforce等公司，它们在AI领域迄今为止表现得相对低调。 毫无疑问，这一事物现在正在迅速发展。 
人工智能加密货币交易机器人：今天就实现交易自动化 | 作者：Trade Aria | 2024年12月 | Medium
- Rifx.Online
- Finance , Technology , Machine Learning
- 03 Jan, 2025
AI-驱动的加密货币交易自动化 加密货币交易的世界正在快速变化。人工智能 (AI) 正在产生重大影响。它利用先进的算法和机器学习使交易变得更加简单和智能。 自动化交易的基本原则 交易是由交易机器人
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2025年投资风口揭秘：AI代理的颠覆性未来！
- Rifx.Online
- Technology , Finance , Autonomous Systems
- 03 Jan, 2025
2025年前值得关注的顶尖AI代理 时不时地，技术突破会改变游戏规则。目前，这一突破是AI代理。 这些自主工具正在悄然改变各个行业，包括金融，并且它们准备在即将到来的牛市中占据主导地位。 如果你还在思考什么是AI代理，不用担心——我来为你解答。 让我们探索这一新兴趋势、关键参与者，以及你如何能够为这波浪潮做好准备。 *我将提到的项目链接也可在文中找到。 AI
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揭秘AI加密代币：如何颠覆区块链世界？5大创新点助你掌握未来！
- Rifx.Online
- Technology , Finance , Data Science
- 03 Jan, 2025
探索AI代币及其功能、优势、使用案例和一些示例。 区块链技术经历了显著的演变。它为旨在增强去中心化、匿名性、保障数字交互以及使Web3对所有人可及的创新铺平了道路。此外，焦点越来越多地转向解决关键挑战，如用户体验、提升可
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人工智能在加密货币交易和分析中的作用
- Rifx.Online
- Finance , Technology , Data Science
- 03 Jan, 2025
人工智能在加密货币交易与分析中的作用 加密货币交易可能是当今最具动态性和波动性的金融市场之一。该市场的特点是波动性较大，但在各个方面都高度依赖数据。 加密货币交易中的人工智能 人工智能基本上是指计算机系统，它们在学习数据、决策和预测方面模仿人类智能。这可以用于分析与加密货币趋势相关的大量数据。 AI在加密交易中的关键应用 1.市场情绪分析 它们基于
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- Contracts
- Semantic
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- Sky t1 32b
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- Encoders
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- Toolcalling
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- Conversion
- Batch processing
- Baker
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- Chain
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- Portfolios
- Moee
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- Npc
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- Umap
- Modules
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