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Beginner friendly, step-by-step walkthrough of how to embed your own data, and make a working recommender bot. I explain each step and how embeddings differ from fine-tuning and general prompting, as well as how you can embed your own data and use this powerful tool! This example makes a movie recommendation from 3000 movies, just plug in your favorite movie and it will recommend a similar title based on the plot and movie title. Colab Notebbook: https://colab.research.google.com/dri... Excel Data: https://docs.google.com/spreadsheets/... Other Videos: AI Phone Scheduler - • Build Your Own AI Receptionist! | Using Bl... AI for Automating Cold Calling - • Using ChatGPT to Automate Cold Calling for... GPT that makes Calls - • Custom GPT with Bland AI: let ChatGPT make... Fine-Tune Llama-2 - • Видео Fine-Tune ChatGPT 3.5 - • Easily Fine Tune ChatGPT 3.5 to Outperform... Build an AI Texting Bot - • Fine-tuning ChatGPT to my text messages… f... Fine-Tune ChatGPT 3 - • Transform ChatGPT into any Expert with Unl... Embed Data with ChatGPT - • Learn to Embed Data with ChatGPT to make a... Build a chatbot - • Create your own AI chat bot with ease usin... How I got GPT4 access - • Here's how I got approved for GPT-4 API ac... API keys - • How to Access OpenAI API Keys for GPT-4 - ... Chapters: 0:00 - Intro 0:52 - What is Embedding Data? 3:16 - Set Up Excel Data 3:56 - Setup Code in Colab 7:45 - Embedding Function 10:04 - Embedding Complete 10:41 - View Embedding Data 11:52 - Setup Search/Recommend Function 14:45 - Gradio UI 15:37 - Success! Let's Test It #embedding #openai #chatgpt #fine-tune #chatgpt #gpt #gpt4 #api #recommend #recommenderbot #tutorial #beginner #ai #artartificial intelligence #chat gpt #embed data #open ai #gpt-4 #python #learn ai #program #LLM