Gro 4 has been out for less than 24 hours and I have put it through its paces. I'm going to show you all the tests. Let's get right into it.So, we have two versions that we're going to be using today. We have Gro 4 and Gro 4 heavy. I tried to use the appropriate model when appropriate.I use Gro 4 heavy for the more logic and reasoning intensive task and the regular Gro 4 for others. Turns out some tests are more appropriate for one than the other. Let me show you the first one.Write Python code that impleme ...

作者 | Indragie Karunaratne 转自| CSDN（ID：CSDNnews） "开发工作即将迎来一次彻底重置，而大多数人还毫无准备。" 这是 Reddit 上一篇爆火帖子的标题，也是一位资深程序员在深入使用 Claude Code（搭载 Opus 4、Max 模式）之后，得出的明确判断。他写道： 这番言论一出，在开发圈激起了广泛讨论，有人附议，有人质疑。但与此同时，另一位开发者 Indragie Karunaratne 选择不谈趋势、不谈理论，而是直 接投入实战。 他亲手用 Claude 构建出一款完整的 macOS 原生应用—— Context 。这不是小打小闹的 Demo，而是一个真正上线的软件，项目总计约 2 万行代码， 其中他本人手写的不到 1000 行， Claude 生成代码的比例高达 95%。 从功能实现、UI 构建、Bug 修复，到测试、打包、上线，Claude 几乎贯穿了整个开发流程。与此同时，他也用这次完整实践，亲身验证了另一个问 题： 每月 200 美元的 Claude Max，真的值吗？ 接下来，我们就一同走进他的开发旅程。这不是一场炫技展示，而是一份详实记录：关于工 ...

整理 | 华卫、核子可乐 刚刚，Anthropic 公司对外披露截止到 7 月 6 日的最新数据：其四个月前推出的 AI 编码助手 Claude Code 已吸引 11.5 万名开发者，且单周处理代码量达 1.95 亿行，堪称 AI 编码市场中增长最快的开 发者工具之一。不过，也有行业观察人士指出，在统计周期内处理的 1.95 亿行代码需谨慎解读，因 为单个代码变更在达到生产质量前可能经历多次迭代与修正。 Menlo Ventures 的投资人 Deedy Das 称，这一使用统计数据彰显出 Claude Code 巨大的商业潜 力。初步测算显示，按当前的用户采用模式，基于开发者每年为使用该服务支付约 1000 美元的假 设，该工具的年化收入预估约达 1.3 亿美元。也就是说， Claude Code 推出不过 4 个月就赚了 4300 万美元（合约人民币 3.08 亿元）。 "哪个初级工程师每年能赚 1300 万美元？这简直是 Soham 级别的生产力。"不少网友都对 Claude Code 的盈利能力表示惊叹。据了解，Claude Code 支持开发者通过自然语言指令执行编码任务，同 时无需手动选择上下文 ...

编辑｜冬梅 美国当地时间 6 月 26 日，Anthropic 刚刚升级了一项重要工具 A rtifacts ，让构建交互式 AI 工具变 得更加轻松。这项功能对于普通用户来说意义非凡，因为无需任何编程技能。 这标志着 Claude 聊天机器人正式向实用工具平台转型。 这家总部位于旧金山的人工智能公司去年 8 月首次发布了 Artifacts。该功能允许 Claude 用户创建小 型 AI 编程应用程序供自己使用。 自推出以来， 数百万用户已经创建了超过五亿个"作品" ——从生产力工具到教育游戏。如今， Anthropic 正在简化 Artifacts 的分享。同时，它也让使用该功能开发的应用程序更加强大。 据 Anthropic 团队成员介绍，最初，Artifacts 的功能是用来生成网站。 据 Anthropic 研发团队成员介绍，去年 3 月份的时候，他想看看最新的模型在生成网站方面有多厉 害。他一直以来的做法是把大模型生成的网站复制粘贴到编辑器里，然后保存文件，再在浏览器里打 开文件。但他注意到整个这样来回的过程特别花时间，所以希望它能直接在屏幕上渲染出来。于是这 位研发人员做了个很简陋的并排界面。 ...

If you're wondering why your boss suddenly started talking about prompt engineering in meetings, you're witnessing the rise of AI literacy as a non-negotiable leadership skill. https://t.co/n4ID9o0fYU https://t.co/cWNzyJ1Rql ...

[Music] All right. So, prompt engineering is dead. And this is a bold statement, but I'm I'm saying that it never actually existed.And if you've ever done h prompt engineering, you probably know that it's kind of because you kind of try to ask the LLM to act nicely and do what you want to do, do what you wanted to do. And so uh this talk I'm going to walk you through a story of mine where I managed to improve our kind of sample chatbot that we have in our website. And I made it I made I it was possible for ...

No one is getting trained on this. I did a study last year and I just saw another study from HP and the numbers happen to be the same. 55% of the people who were surveyed and these were IT decision makers involved with AI applications at their companies.55% said we don't train anybody on any of this AI stuff yet. Like what. Like how in reality every single one of us needs to become a prompt engineer if we're really going to leverage AI.And yet how does that happen. Well, we have to be trained. Systems have ...

Hi, today we're going to talk about prompt engineering in Langmith. Langmith includes several useful features for optimizing and iterating on your LLM prompts. The first feature we'll be covering is called the prompt playground.The playground is accessible in the lefth hand navigation pane viewable here. However, you can also access the playground through any individual trace containing an LM call. Let's check out that second option using the application we built in our previous video, the explain like I'm ...

Full workshop covering all forms of fine-tuning and prompt engineering, like SFT, DPO, RFT, prompt engineering / optimization, and agent scaffolding. About Ilan Bigio Ilan Bigio is a founding member of OpenAI’s Developer Experience team where he explores model capabilities, builds demos and developer tools, and shares his learnings through talks and docs. His work includes creating the AI phone ordering demo showcased at DevDay 2024, leading technical development for Swarm, the precursor to the Agents SDK, ...

Metarprompting is turning out to be a very very powerful tool that everyone's using now. It kind of actually feels like coding in you know 1995 like the tools are not all the way there. We're you know in this new frontier. But personally it also kind of feels like learning how to manage a person where it's like how do I actually communicate uh you know the things that they need to know in order to make a good decision. [Music] Welcome back to another episode of the light cone. Today we're pulling back the c ...