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I'm excited to introduce my AI Machine Learning Agent that built 32 ML models in 30 seconds. Today, I'll share with you how to automate building 100s of ML models with the AI ML Agent, which is available on GitHub. We'll create an ML Agent focusing on a Customer...

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🔥 Matt Dancho (Business Science) 🔥

86,632 subscribers

240,806 просмотров • 1 год назад •via X (Twitter)

ОбразованиеНаука и технологииНовости и политика
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Комментарии: 7

Фото профиля 🔥 Matt Dancho (Business Science) 🔥
🔥 Matt Dancho (Business Science) 🔥1 год назад

P.S. Want free AI, Machine Learning, and Data Science Tips with Python code every Sunday? Don't forget to sign up for my AI/ML Tips Newsletter Here:

Фото профиля Greg Caplan 🚀
Greg Caplan 🚀2 лет назад

Stop wasting time following up with leads. Let our AI agents do it for you.

Фото профиля bharadwaj
bharadwaj1 год назад

Thank you 😊

Фото профиля 🔥 Matt Dancho (Business Science) 🔥
🔥 Matt Dancho (Business Science) 🔥1 год назад

You got it. Let me know how it goes if you decide to try it out.

Фото профиля Luis Torres
Luis Torres1 год назад

Fascinating application of AI in finance! How do you see this impacting risk management in customer churn problems?

Фото профиля Maniac
Maniac1 год назад

Is this for algorithmic trading as well ? I mean the topics which will be discussed in the webinar..

Фото профиля 🔥 Matt Dancho (Business Science) 🔥
🔥 Matt Dancho (Business Science) 🔥1 год назад

You can certainly use it for trading but this is generic to ML.

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Agentic commerce is coming 🔥 — Emily GlassbergSands, Head of Information at Stripe unpacks how autonomous “buying bots” and MCP are reshaping the very mechanics of online transactions - and how Stripe’s AI models and rails are adapting for tokens, one-time virtual cards, and real-time risk management. 0:00 - Intro, latest Stripe stats 01:45 - Backgroud: The “Head of Information” role at Stripe, and Emily's journey from Harvard to Stripe 08:54 - Why Stripe Built Its Own Foundation Model 13:19 - Cracking the Code: How Stripe Handles Complex Payment Data 16:25 - Foundation Model vs. Traditional ML: What’s Winning, When? 20:09 - Inside Stripe’s Foundation Model: How It Was Built 24:35 - Transparency vs black box AI 28:38 - How to decide when to use AI and when not 34:10 - How Stripe’s AI Drives Revenue for Businesses 41:22 - Real-Time Fraud Detection: Stripe’s Secret Sauce 42:51 - The Future of Shopping: AI Agents & Agentic Commerce 46:20 - How Agentic Commerce Is Changing Stripe 49:36 - Stripe’s Vision for a World of AI-Powered Buyers 55:46 - What Is MCP? Stripe’s Take on Agent-to-Agent Protocols 59:31 - Stripe’s Data on AI Startups Monetizing 3× Faster 1:03:03 - How AI Companies Go Global — From Day One 1:07:48 - The New Rules: Billing & Pricing for AI Startups 1:10:57 - How Stripe Builds AI Literacy Across the Company 1:14:05 - Roadmap: Risk-as-a-Service, Order Intent, and Beyond
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Agentic commerce is coming 🔥 — Emily GlassbergSands, Head of Information at Stripe unpacks how autonomous “buying bots” and MCP are reshaping the very mechanics of online transactions - and how Stripe’s AI models and rails are adapting for tokens, one-time virtual cards, and real-time risk management. 0:00 - Intro, latest Stripe stats 01:45 - Backgroud: The “Head of Information” role at Stripe, and Emily's journey from Harvard to Stripe 08:54 - Why Stripe Built Its Own Foundation Model 13:19 - Cracking the Code: How Stripe Handles Complex Payment Data 16:25 - Foundation Model vs. Traditional ML: What’s Winning, When? 20:09 - Inside Stripe’s Foundation Model: How It Was Built 24:35 - Transparency vs black box AI 28:38 - How to decide when to use AI and when not 34:10 - How Stripe’s AI Drives Revenue for Businesses 41:22 - Real-Time Fraud Detection: Stripe’s Secret Sauce 42:51 - The Future of Shopping: AI Agents & Agentic Commerce 46:20 - How Agentic Commerce Is Changing Stripe 49:36 - Stripe’s Vision for a World of AI-Powered Buyers 55:46 - What Is MCP? Stripe’s Take on Agent-to-Agent Protocols 59:31 - Stripe’s Data on AI Startups Monetizing 3× Faster 1:03:03 - How AI Companies Go Global — From Day One 1:07:48 - The New Rules: Billing & Pricing for AI Startups 1:10:57 - How Stripe Builds AI Literacy Across the Company 1:14:05 - Roadmap: Risk-as-a-Service, Order Intent, and Beyond

Matt Turck

17,720 просмотров • 1 год назад

You can create an AI Agent that answers your email with a few clicks. 1. Go to ChatLLM ( 2. Click on AI Engineer 3. Select Create an AI Agent 4. Choose the Email Answering Agent ChatLLM will do the rest: it will code, test, and deploy the agent for you. You can also create a custom agent in English. The Agent Economy is coming (somebody should write a book and use this title.) We are going to see examples like this, times 1,000 in 2025. Just think about how many repetitive tasks you perform every day. Some of these tasks are involved enough that we couldn't automate them with pre-AI solutions. That's where we'll see agents explode, and I'm here for it.
0:35

You can create an AI Agent that answers your email with a few clicks. 1. Go to ChatLLM ( 2. Click on AI Engineer 3. Select Create an AI Agent 4. Choose the Email Answering Agent ChatLLM will do the rest: it will code, test, and deploy the agent for you. You can also create a custom agent in English. The Agent Economy is coming (somebody should write a book and use this title.) We are going to see examples like this, times 1,000 in 2025. Just think about how many repetitive tasks you perform every day. Some of these tasks are involved enough that we couldn't automate them with pre-AI solutions. That's where we'll see agents explode, and I'm here for it.

Santiago

79,974 просмотров • 1 год назад