Auto-GPT Setup: Step-by-Step Beginner's Guide to Installing, Configuring, & Training AI Software

Welcome to your step-by-step guide to conquering the world of AI with Auto-GPT! 🌐 This groundbreaking software is set to transform how we interact with artificial intelligence, and it's easier to get started than you might think. 💡

Whether you're an AI novice or a seasoned techie, this comprehensive video tutorial will guide you through the process of downloading, configuring, running, and even training Auto-GPT. No need to worry about confusing jargon or complex procedures; I've broken everything down into easy-to-follow steps, making it accessible to everyone, even complete beginners! 🙌

I'll provide clear instructions to ensure a smooth setup process. But that's not all! We'll also dive into how you can train Auto-GPT, enabling you to tailor this powerful AI to your specific needs. 🎯

By the end of this tutorial, you'll not only have Auto-GPT up and running, but you'll also gain a solid understanding of how to make the most of its incredible features. So, why wait? Dive in and start your AI journey with Auto-GPT today! 🎉

Don't forget to 👍 like, 💬 comment, and 🔔 subscribe if you find this video helpful. Your feedback fuels my content, and together, we can make AI accessible to everyone. Let's demystify AI, one step at a time. 🚀

Links: Auto-GPT Website: https://news.agpt.co/ Auto-GPT Github Repository: https://github.com/Significant-Gravitas/Auto-GPT Auto-GPT Setup Guide: https://github.com/Significant-Gravitas/Auto-GPT/blob/master/docs/setup.md

ChatGPT: https://openai.com/blog/chatgpt GPT-4: https://openai.com/product/gpt-4 Join GPT-4 API Waitlist: https://openai.com/waitlist/gpt-4-api

APIs Open AI API: https://openai.com/blog/openai-api Pinecone API: https://www.pinecone.io/ Google Cloud Console: https://console.cloud.google.com/getting-started Google Cloud Free Trial: https://cloud.google.com/free Google Programable Search Engine: https://programmablesearchengine.google.com/about/

Dev Tools Python: https://www.python.org/ Microsoft Visual Studio Code: https://code.visualstudio.com/ GitHub Desktop: https://desktop.github.com/ Git for Windows: https://git-scm.com/download/win Docker: https://www.docker.com/ Windows Subsystem for Linux (WSL): https://learn.microsoft.com/en-us/windows/wsl/install

Windows Power Shell Commands Used: wsl --install wsl --update pip install -r requirements.txt .\run.bat

00:00 Introduction 00:38 What is Auto-GPT? 02:16 Setting up Your Open AI API Key 04:00 Setting up Your Pinecone API Key 04:55 Setting up Your Google API Key 05:30 Setting up Your Google Custom Search Engine 06:06 Download Dev Tools 07:05 Install Python 07:33 Install Visual Studio Code 07:58 Install GitHub Desktop 08:11 Install Git for Windows 08:58 Install Docker 09:35 Clone the Auto-GPT Repository to Your Local Drive 10:44 Make sure to the STABLE Branch not the MASTER 11:32 Launch the Windows Power Shell in the Auto-GPT Directory 12:15 Install Windows Subsystem for Linux (WSL) 12:43 Install Python Requirements for Auto-GPT 13:21 Open the Code Base in Visual Studio Code 13:59 Create Your .ENV File using the ENV.TEMPLATE File 16:12 Add Our Personal Open AI API Key to the .ENV File 17:07 Run Auto-GPT 18:01 Using Auto-GPT for the First Time 22:15 Exiting Auto-GPT 22:39 Launch Docker 22:50 Update Windows Subsystem for Linux 23:20 Add Our Personal PineCone API Key to the .ENV File 24:55 Add Our Personal Google API Keys to the .ENV File 26:18 Relaunch Auto-GPT 26:32 Using Auto-GPT for the Second Time 27:46 Sign up for the GPT-4 API Waitlist 29:19 Dealing with Error Codes 29:48 Where does Auto=GPT Store its Results? 30:33 Providing Additional Human Input 30:57 Dealing with Error Codes Using ChatGPT 31:57 Looking Beyond Our Simple Example ... https://www.youtube.com/watch?v=3gMqL72iuS0