In this video, we dive deep into Generative AI, exploring the power of Large Language Models like ChatGPT. Discover how these advanced models generate human-like text and uncover their possibilities for various applications. Want to learn more about it? Visit our blog for an in-depth exploration of Generative AI, LLMs, and ChatGPT's capabilities! https://bit.ly/3WXuHIi

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💚 Link to Code: https://www.patreon.com/greencode

How I Learned This: https://nnfs.io/ (by the awesome @sentdex )

I'm not an AI expert by any means, I probably have made some mistakes. So I apologise in advance :)

Also, I only used PyTorch to test the forward pass. Apart from that, everything else is written in pure Python (+ use of Numpy).


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Today I'm going to show you how to build an AI agent in Python in less than ten minutes.

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Code in this video: https://github.com/techwithtim..../PythonAIAgentin10Mi

⏳ Timestamps ⏳
00:00 | Install & Setup
01:23 | OpenAI API Key
03:26 | Imports
04:42 | Tools
06:39 | LLM & Agent
07:43 | Driver Code
09:45 | Testing

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Xiaoqing Ge, Senior Innovation Engineer at Baker Hughes, discusses the following:
• Overview of computer vision
• How deep learning works in computer vision?
• Traditional methods vs deep learning
• Survey of Baker Hughes applications
• Looking ahead

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In this video, you'll learn exactly how to build five different AI agents across four different platforms and start selling them to businesses. I walk you through my exact experience scaling an AI agency to six figures in 14 months so you can turn technical skills into a highly profitable business.

We'll cover:
- The core foundations of AI agents, APIs, and how they actually think, decide, and act in the real world.
- Step-by-step tutorials on building 5 high-value AI agents: Lead Gen, Inbound Receptionist, Speed-to-Lead, Executive Assistant, and a Sales Lead Research Copilot.
- How to confidently price your AI agents based on the high ROI and value you provide, rather than hourly rates.
- Proven warm outreach, sales, and delivery strategies to land your first paying clients and retain them long-term.

Timestamps
00:00 - Introduction
01:27 - Foundations
30:20 - Build 1 (inspo by Eddie Chen)
59:17 - Build 2
01:33:07 - Build 3
02:04:39 - Build 4
02:49:24 - Build 5
03:25:10 - Monetization

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