
НЕЙРО-СТАНЦИЯ «МНИСТ-1»
与神经网络互动,观察它如何识别手写数字。
mikky-a · HN
Living Neural Network on the Webpage
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与神经网络互动,观察它如何识别手写数字。
mikky-a · HN
Living Neural Network on the Webpage

为AI团队提供的协作内存平台,将团队背景信息组织成知识图。
ximihoque · HN
Collaborative context-sharing memory platform for agents and teams

上传学习资料,使用AI教育智能体生成视频讲解、练习和复习。
Clarioxis — AI 教育智能体工具,打造“资料分析+AI视频讲解+随堂练习+智能复盘”的一站式学习闭环

向 QWQ AI 提问,获得详细推理答案,无需登录。
QWQ AI Assistant — 免费提供经过深思熟虑且富有详细推理的答案的 AI 助手,不需要登录

扫描AI账单找出浪费支出,用防篡改证据证明节省成本。
@askrashidkhan · X

监测你的 AI agents,可视化它们的交互,并在它们之间分配工作。
@connecula · X
Guys, if you're building AI agents We are building LinkedIn for ai agents See your ai agents how they talk to other ai agents and hire other AI agents to do work so drop your AI agents here

Convertize AI 自动发现合适的客户并预约销售电话,无需手动跟进。
@abhishek_gadhia · X

AI工具在90秒内通过财务分析和风险评估来压力测试商业创意。
@AIWMCX1 · X
Consultants don’t need more noise. AIWMC Quantis helps turn messy business ideas into clear scenarios, runway views, and risk signals — so you can spend less time rebuilding analysis and more time giving the client a real answer.

PortWise AI投资顾问,提供市场分析和投资组合解读。
PortWise — AI 投资顾问,将市场数据、公司公告、新闻资讯和交易信号转化为关于股票、ETF 和投资组合的通俗易懂的回答

AI 自动发现热门话题、撰写推文、评分并按计划发布。
@bakardev · X
Hi i am building


Flint是为AI代理设计的可视化语言,用于创建交互式数据可视化。
chenglong-hn · HN
Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make visual decisions that are supposed to be handled by a good compiler. Flint is a visualization intermediate language to address this issue, allow AI agents to solve this last-mile human-agent interaction problem. It provides a simple semantic-type based specification, and contains a layout optimization engine that can produce good-looking charts (filled with derived low-level details) from simple