正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

Introducing Livedocs, a general data agent The best way to analyze data with AI

Livedocs

1,082 subscribers

220,253 次观看 • 8 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

If you care about AI + data, watch this demo. ( Livedocs ) LiveDocs Agent Mode in action 👇

If you care about AI + data, watch this demo. ( Livedocs ) LiveDocs Agent Mode in action 👇

Parul Gautam

25,459 次观看 • 8 个月前

Introducing Agent Playground — A terminal for AI agents to create, transact, and analyze data onchain 🪄 ⭐ + Agent wallet + Natural language → onchain actions + Autonomous onchain operations + Real-time block analysis Try now:

Introducing Agent Playground — A terminal for AI agents to create, transact, and analyze data onchain 🪄 ⭐ + Agent wallet + Natural language → onchain actions + Autonomous onchain operations + Real-time block analysis Try now:

OnchainKit

85,668 次观看 • 1 年前

Introducing - your AI powered Data Scientist - connect a data source (Google Sheets, Excel, Postgres Database) - analyze and transform data - generate insights - create visualizations follow for more updates

Introducing - your AI powered Data Scientist - connect a data source (Google Sheets, Excel, Postgres Database) - analyze and transform data - generate insights - create visualizations follow for more updates

rahul

324,422 次观看 • 3 年前

🚀 Introducing, the world's first AI Copilot for Data Analysts, ProbeAI Today, Generative AI comes to Data Analysis in a big way. Say goodbye to spending hours building complex data dashboards. Early access:

🚀 Introducing, the world's first AI Copilot for Data Analysts, ProbeAI Today, Generative AI comes to Data Analysis in a big way. Say goodbye to spending hours building complex data dashboards. Early access:

sahu

46,144 次观看 • 3 年前

Meet Agent OS - a new way to build, deploy and use AI agents on Binance. Bring Binance market intelligence, payment, on-chain, data and trading capabilities directly into your AI workflow. Build. Analyze. Trade. With AI. 🫡 Experience it ↠

Meet Agent OS - a new way to build, deploy and use AI agents on Binance. Bring Binance market intelligence, payment, on-chain, data and trading capabilities directly into your AI workflow. Build. Analyze. Trade. With AI. 🫡 Experience it ↠

Binance

1,335,514 次观看 • 1 个月前

🧑‍🍳 Cook Data for #AI & Get paid with One Click! Introducing #DIN: The Decentralized AI Data Factory! With DIN, you can: ⏳ Own your Data in a #Decentralized Network 📁 Easily Create Personalized Datasets 💰 Earn Rewards by Contributing Data to #AI! 🔗

🧑‍🍳 Cook Data for #AI & Get paid with One Click! Introducing #DIN: The Decentralized AI Data Factory! With DIN, you can: ⏳ Own your Data in a #Decentralized Network 📁 Easily Create Personalized Datasets 💰 Earn Rewards by Contributing Data to #AI! 🔗

DIN⏳

1,333,446 次观看 • 2 年前

YOUR AI AGENT CAN NOW COLLECT DATA FROM ALMOST ANY WEBSITE X, YouTube, Reddit, random websites, basically whatever you need for research, analytics or monitoring. Here are 3 GitHub tools that let your agent pull the data for you. 1. Agent-Reach Bundles tools for working with different platforms in one place. X, YouTube, Reddit, GitHub and more. 2. Patchright Enhanced Works through the browser with Playwright. You can listen to the requests a website makes and pull the data you need through a script. So if a website doesn’t have a proper API, you still have a way to get the data. 3. Scrapling A general purpose tool for pulling data from web pages. And the best part is that you can give all of this to your AI agent. For example: “Collect posts from 100 X accounts from the last month, find the most popular topics and analyze what’s working.” Or: “Collect reviews about this product from Reddit and YouTube and summarize the main complaints.” You tell the agent what data you need → it writes the code → collects the data → gives you the result. Basically, you’re giving your agent the ability to pull data from almost anywhere on the web. That opens up a whole different level of stuff you can automate.

YOUR AI AGENT CAN NOW COLLECT DATA FROM ALMOST ANY WEBSITE X, YouTube, Reddit, random websites, basically whatever you need for research, analytics or monitoring. Here are 3 GitHub tools that let your agent pull the data for you. 1. Agent-Reach Bundles tools for working with different platforms in one place. X, YouTube, Reddit, GitHub and more. 2. Patchright Enhanced Works through the browser with Playwright. You can listen to the requests a website makes and pull the data you need through a script. So if a website doesn’t have a proper API, you still have a way to get the data. 3. Scrapling A general purpose tool for pulling data from web pages. And the best part is that you can give all of this to your AI agent. For example: “Collect posts from 100 X accounts from the last month, find the most popular topics and analyze what’s working.” Or: “Collect reviews about this product from Reddit and YouTube and summarize the main complaints.” You tell the agent what data you need → it writes the code → collects the data → gives you the result. Basically, you’re giving your agent the ability to pull data from almost anywhere on the web. That opens up a whole different level of stuff you can automate.

TeddyCEO

196,080 次观看 • 7 天前

Introducing Experiments in ElevenAgents - the most data-driven way to improve real-world agent performance. Experiments enables you to run controlled A/B tests to measure which agent configuration works best - from prompt structure to workflow logic, voice, and personality.

Introducing Experiments in ElevenAgents - the most data-driven way to improve real-world agent performance. Experiments enables you to run controlled A/B tests to measure which agent configuration works best - from prompt structure to workflow logic, voice, and personality.

ElevenLabs

30,240 次观看 • 7 个月前

Ship anything with Agent 4 - Build web & mobile apps, slides, animations - Chat with connected services (Notion, Google Apps etc) to optimize your workflow - Build data apps or chat with your data to analyze

Ship anything with Agent 4 - Build web & mobile apps, slides, animations - Chat with connected services (Notion, Google Apps etc) to optimize your workflow - Build data apps or chat with your data to analyze

Replit ⠕

28,145 次观看 • 6 个月前

I built an AI Data Analysis Agent. Just upload CSV/Excel files and analyze data through natural language. It uses DuckDB for lightning-fast processing. 100% Opensource Code with step-by-step tutorial.

I built an AI Data Analysis Agent. Just upload CSV/Excel files and analyze data through natural language. It uses DuckDB for lightning-fast processing. 100% Opensource Code with step-by-step tutorial.

Shubham Saboo

92,061 次观看 • 1 年前

Introducing the Tasklet sandbox VM. Every agent now gets its own Linux environment with Python, ffmpeg, imagemagick, and a persistent filesystem. Create, process & transfer files, use code to analyze data, make network requests, install packages & more.

Introducing the Tasklet sandbox VM. Every agent now gets its own Linux environment with Python, ffmpeg, imagemagick, and a persistent filesystem. Create, process & transfer files, use code to analyze data, make network requests, install packages & more.

Tasklet

24,544 次观看 • 9 个月前

The best way to grow in the Data Space as a Data Analyst is to join a Community.

The best way to grow in the Data Space as a Data Analyst is to join a Community.

Annie🦋

17,071 次观看 • 7 个月前

Introducing the Bankless MCP 🤖⚡️ Make your AI not suck with crypto-related prompts Almost a decade of crypto data, to level up your agent or AI provider Available for premium subscribers!

Introducing the Bankless MCP 🤖⚡️ Make your AI not suck with crypto-related prompts Almost a decade of crypto data, to level up your agent or AI provider Available for premium subscribers!

Bankless

11,864 次观看 • 1 个月前

Introducing Open Deep Research 🔭 An open source AI Agent that reasons large amounts of web data extracted with Open source. Powered by the AI SDK

Introducing Open Deep Research 🔭 An open source AI Agent that reasons large amounts of web data extracted with Open source. Powered by the AI SDK

Nicolas Camara

215,294 次观看 • 1 年前

The industry’s best CPU for AI 🧠 Best-in-class efficiency 💪 Superior data center optimization 🌐 Introducing the Intel Xeon 6700 series processor with P-cores — the ideal CPU for modern data centers.

The industry’s best CPU for AI 🧠 Best-in-class efficiency 💪 Superior data center optimization 🌐 Introducing the Intel Xeon 6700 series processor with P-cores — the ideal CPU for modern data centers.

Intel News

17,724 次观看 • 1 年前

I built an AI data visualization Agent. The AI Agent can automatically generate the code and visualize the data using code interpreter sandbox. 100% Opensource Code with step-by-step tutorial.

I built an AI data visualization Agent. The AI Agent can automatically generate the code and visualize the data using code interpreter sandbox. 100% Opensource Code with step-by-step tutorial.

Shubham Saboo

68,488 次观看 • 1 年前

Seamlessly access, analyze, manage and govern data to feed your AI workloads.

Seamlessly access, analyze, manage and govern data to feed your AI workloads.

HPE

32,278,648 次观看 • 1 年前

With the stack fixed, can an AI agent choose data and experiment like a researcher? At Evolvent AI, we built RSIBench-Data to test whether agents can diagnose failures, design data, train checkpoints, and use feedback. 🧵 📄 💻

With the stack fixed, can an AI agent choose data and experiment like a researcher? At Evolvent AI, we built RSIBench-Data to test whether agents can diagnose failures, design data, train checkpoints, and use feedback. 🧵 📄 💻

Fanqing

51,674 次观看 • 1 个月前