
过去两周,AI圈发生的动荡足以改变未来的格局:Meta豪掷数亿美金收购Manus,扎克伯格亲自下场“抢人”;腾讯引援27岁的前OpenAI核心研究员姚顺雨,试图在模型混战中后发制人;国内大模型独角兽智谱AI、MiniMax开启上市冲刺。这期我们就来聊一聊这两周的一些行业变化~
你将听到
l Meta的豪赌: 为什么是Manus
l 天才入职腾讯: 姚顺雨是谁?他能解决腾讯的“AI焦虑”吗?
l 国产模型的冷与热: 智谱AI上市背后的30亿亏损与地缘政治风险。
时间戳
00:36 Me... more
为什么你觉得AI不够智能?可能只是你的“打开方式”不对。本期节目,我们将深入探讨Google官方的Prompt指南,并分享总结的独家「ROLE」提问框架,助你从“小白”进阶为“Prompt工程师”。此外,随着Gemini 3的更新,「vibe Coding」(Web应用开发)成为了新风口。亲测开发了三款实用小工具,带你体验“氛围感编程”的乐趣与坑点。
你将听到
l Prompt进阶:为什么你的提示词只有9个词,而大神用了21个?
l ROLE框架:角色(Role)、任务(Objective... more
这周呢,一起来学习的课程是Andrej Karpathy《如何构建chatgpt》,如果你也被像SFT、标注、分词、幻觉这样的名词搞得云里雾里,那么这期节目非常适合你去收听。本期我们将大家拆解构建大语言模型的三个阶段:训练、监督微调、强化学习,一起来了看看大语言模型是如何炼成的!
你将听到:
l Andrej Karpathy 是谁?为什么他的课值得听?
l 为什么说Token是AI的语言?
l 如何通过打分和奖励机制,让AI的回答更符合人类价值观?
l AI的幻觉与缺陷 —— 为什... more
一个文科生,对科技基本不感兴趣的人,迫于生活的压力,开始了对于AI的学习。创立这档播客,希望能通过自述学习内容的这种方式,敦促自己学习,巩固学习成果(其实主要是怕自己学不下去。
本期,主要是对吴恩达《AI for everyone》课程内容的总结,主要分为两部分,对AI、机器学习、深度学习、神经网络、监督学习等概念的阐释以及它们之间关系的描述。再有就是对与AI产品,比如智能音箱、无人驾驶等运行步骤的了解。不得不承认,AI以后在各方面都是人类的合作伙伴,早了解总是没错的。
也附上这期提到的一些... more










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