Build your first chatbot prompt for FREE in Visual Studio code with Groq (Python Tutorial) скачать в хорошем качестве

Build your first chatbot prompt for FREE in Visual Studio code with Groq (Python Tutorial)

Learn how to code chatbot prompts with open source large language models If you're finding this GenAI Bootcamp helpful, make sure to SUBSCRIBE to @GenAI_Nerd_Channel and hit the bell icon 🔔 so you don't miss our next episode! Link to the jupyter notebook that is used in the video: https://whu365-my.sharepoint.com/:u:/... In this video, we are diving into the world of high-speed, open-source AI. I’ll show you exactly how to execute your first prompts in code using the Groq platform—entirely for FREE. Groq allows you to run powerful open-source models like Llama 3 at lightning speeds without the hefty price tag of closed models. Whether you are a beginner or a seasoned dev, this step-by-step tutorial will help you integrate GenAI into your Python projects. What you’ll learn in this video: ✅ Installing the Groq Python package. ✅ How to generate and securely store your Groq API key. ✅ Building a Translator Chatbot using Llama 3. ✅ Debugging common API errors. ✅ Using the Groq Playground to auto-generate Python code. ✅ Building a Text Summarizer from scratch. #AI #GenAI #Python #Llama3 #Groq #CodingBootcamp #MachineLearning #OpenSource #SoftwareDevelopment #FreeAPI Chapters & Timestamps 00:00 Intro: Why Groq is a Game Changer for AI Developers 00:43 Setting up VS Code & Project Folders 01:11 How to Install the Groq Python Package (pip install groq) 02:54 Step-by-Step: Getting Your Free Groq API Key 04:47 Security First: Securely Loading API Keys in Python 06:43 Example 1: Building an AI Translator with Llama 3 08:55 Debugging: Fixing the "API Key Not Found" Error 10:41 Example 2: Using Groq Playground to Generate Code 12:41 Understanding the "Onion": Decoding Chat Completion Objects 14:05 Final Test: Executing the AI Text Summarizer 15:20 Conclusion & What's Coming Next!