雷峰网发布于 08/25 10:32
Meoo打通AI做App全链路，“一句话”就能做出安卓与iOS应用
近日，阿里AI应用搭建产品Meoo（秒悟）打通了自然语言做App的全链路。不懂编程的普通用户只需用自然语言描述想法，Meoo即可自动生成页面与功能，支持真机测试
全部低代码大模型AI AgentRAG模型评测提示词工程多模态AI 安全AI 编程具身智能云计算数据库开源网络安全DevOpsAPI架构设计边缘计算物联网产品设计用户增长商业化A/B 测试用户研究会员体系私域运营留存转化率增长实验降本增效组织调整裁员招聘绩效考核薪酬远程办公企业文化管理变革战略转型融资上市并购财报估值股价投资消费趋势市场竞争商业模式监管反垄断数据安全隐私保护劳动法知识产权税务政策产业政策医保政策教育政策求职跳槽转行晋升副业职业规划简历面试职场沟通领导力技能提升出海跨境电商本地化海外市场全球供应链国际贸易海外监管汇率关税地缘风险数字化转型智能化自动化可持续发展碳中和新消费下沉市场国产替代供应链重构价格战区块链智能合约加密资产交易所钱包DeFiNFTDAO链游RWAAI AgentsLLM PlatformAI Policy
36氪发布于 08/24 16:19
这场AI大赛上，年轻人把「人味」拉满了
前保安手搓的AI，让胡彦斌和Tim现场玩嗨了 这或许是“人味儿”拉满的一场AI大赛——8月21日，TRAE AI创造力大赛决赛现场，气氛更像一场热闹的游园会。 冠军属于三个相识于深圳科创学院的年轻创业者。他们开发的是一款AI硬件开发工具，一个专门给硬件设备做电路板demo的AI生成工具，全是复杂的技术名词和硬核的AI硬件基建，看起来就很符合科技黑客松的气质。
人人都是产品经理发布于 08/25 14:31
你的HR还在算人均营收？字节已把AI变经营单元！
字节跳动将TRAE、扣子并入豆包，推出独立品牌“豆包工作”，表面是产品整合，实则是组织手术。本文从组织模式视角切入，指出AI提效的关键在于组织变革，而非简单的人均计算，并给出token效、决策周期、增效分享三大衡量指标，揭示AI转型的真伪。
Google AI Blog发布于 08/14 00:45
Bring your spreadsheet data to life with Sheets canvas
（翻译）用 Sheets 画布让电子表格数据活起来
Sheets canvas turns data into interactive dashboards, custom study trackers, seating charts, and more, all with a simple prompt.
Microsoft AI Blog发布于 08/10 23:07
How to build an AI agent: A simple guide for anyone
（翻译）如何构建 AI 智能体：面向所有人的简单指南
Learn how to build an AI agent in Microsoft 365 Copilot, from identifying a problem to testing, refining and sharing your agent.
Hugging Face Blog发布于 08/25 08:00
Wire It, Run It, Deploy It: AI Workflows in Gradio
（翻译）连接、运行、部署：Gradio 中的 AI 工作流
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Google AI Blog发布于 06/30 00:00
Ask an AI expert: What exactly is the full stack?
（翻译）向AI专家提问：全栈到底是什么？
A Google expert explains what it means to take a full-stack approach to AI and why it’s been the foundation of our AI work for so long.
AWS Machine Learning Blog发布于 08/21 05:23
Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 1: Setting up your Snowflake environment
（翻译）使用Snowflake、Amazon SageMaker Canvas和Amazon Quick构建无代码机器学习工作流——第1部分：设置Snowflake环境
Healthcare, retail, and life sciences teams store large volumes of operational data in Snowflake, but turning it into predictions is hard. In Part 1 of this series, you set up your AWS account and Snowflake environment for a no-code ML workflow with Amazon SageMaker Canvas, laying the foundation for
AWS Machine Learning Blog发布于 08/21 05:23
Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 2: Data preparation and model building with Amazon SageMaker Canvas
（翻译）使用Snowflake、Amazon SageMaker Canvas和Amazon Quick构建无代码机器学习工作流——第2部分：使用Amazon SageMaker Canvas进行数据准备和模型构建
In Part 2 of this no-code ML series, you connect Amazon SageMaker Canvas to Snowflake, prepare and join transaction data with Data Wrangler visual transformations, and train an XGBoost fraud detection model. All without writing machine learning code, laying the groundwork for interactive dashboards
AWS Machine Learning Blog发布于 08/21 05:23
Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 3: Visualizing insights with Amazon Quick Sight
（翻译）使用Snowflake、Amazon SageMaker Canvas和Amazon Quick构建无代码ML工作流——第3部分：使用Amazon Quick Sight可视化洞察
In Part 3 of this no-code ML series, you bring fraud detection predictions to life. Import your Amazon SageMaker Canvas predictions into Amazon Quick Sight, build interactive dashboards, use generative BI to answer questions in natural language, and publish AI-generated executive summaries for stake
AWS Machine Learning Blog发布于 08/20 06:09
Automate Document Processing with Quick Automate and the IDP Accelerator
（翻译）利用 Quick Automate 与 IDP Accelerator 自动化文档处理
Classifying, extracting, and validating high volumes of documents is a challenge across banking, insurance, healthcare, and the public sector. See how a mid-size mortgage lender automates its entire document intake pipeline, from email to validated data, using the AWS GAIIC IDP Accelerator and Amazo