今日深度AI
哄哄_Af8fHi，大家好，欢迎来到《今日深度AI》，这是一档用对话敲开AI世界大门，用思考碰撞智慧火花的AI知识播客，包括子栏目：『今日AI镜观察』、『AI小酒馆』、『和你一起撸经典』、『AI工坊』，全方位为您持续提供一桌AI盛宴，入座吧！
| Publishes | Daily | Episodes | 51 | Founded | 4 months ago |
|---|---|---|---|---|---|
| Language |  ZH-CN | Category | TV & Film | ||
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Latest Episodes
本期播客作为《智能体AI全栈课程》第六讲，聚焦智能体 AI 时代核心人才的实战驱动路线图。路线图第一步强调生成式 AI 基础，要求熟悉主流大型语言模型（LLM）并关注多智能体系统。第二步强调深入掌握 Python 及其核心科学计算库，如 NumPy、Pandas 和深度学习框架 TensorFlow/PyTorch。接下来的第三步是探索和掌握尖端的智能体框架，如 Crew AI、AutoGPT 和 Devin AI，以实现自主工作流。第四步则侧重于 LangChain 和 RAG（检索增强生成）... more
本期播客关于 多模态人工智能 (MM AI) 和 智能体 AI (Agentic AI) 行业应用，重点解释了多模态AI如何像人类一样同时处理文本、图像和声音等多种数据类型。 脚本详细介绍了MM AI 的工作原理，即通过编码器将不同数据输入到一个共享嵌入空间中进行推理。 随后，内容转向智能体 AI 在物流、医疗保健、科学进步和能源等关键领域的实际应用和效率提升。 最后，提供了一个 亚马逊 Alexa Plus的案例分析，突出其从被动响应式到主动式、具备长期记忆和复杂任务执行能力的重大飞跃。最后还... more
本期播客作为“智能体AI全栈课程”的第四讲，旨在讲解构建下一代智能体所需的关键工具。内容首先介绍了 LangChain，将其比作大型语言模型（LLM）的“神经系统”或“瑞士军刀”，解释了它如何作为 LLM 与外部世界（如 API 和数据库）之间的桥梁，并详细阐述了Agents（智能体）如何通过 ReAct（推理与行动）循环自主完成复杂任务。接着，脚本探讨了 RAG（检索增强生成）技术，强调其作为 LLM 的“记忆和事实校准器”的作用，用于解决 LLM 容易产生“幻觉”的问题，并介绍了 RAG 的... more
随着昨天ChatGPT Atlas的发布，引燃本已竞争激烈的 AI 浏览器大战，本期播客重点比较了 ChatGPT Atlas、Perplexity Comet 和 Google Chrome/Gemini 三大核心竞争者。这场竞争不仅关乎互联网入口，更是一场关于 用户数据 和未来工作流控制权的全面较量。Atlas 旨在通过其 Agent 模式 优先实现“行动”和工作流自动化，而 Comet 则专注于“认知”、研究和事实核查，提供高度透明和可溯源的答案，而市场霸主 Chrome 则面临其广告驱动... more
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Apple Podcasts | #70 | China/TV & Film |
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