OpenAI CLIP | Machine Learning Coding Series

❤️ Become The AI Epiphany Patreon ❤️ 👨‍👩‍👧‍👦 Join our Discord community 👨‍👩‍👧‍👦 Kicking off a series of videos where I’ll be going through the actual code of many of the papers I’ve covered over the last few years! In this video I do a code walkthrough of OpenAI’s CLIP model from the “Learning Transferable Visual Models From Natural Language Supervision“ paper. Let me know what you’d like me to cover next! ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ ✅ GitHub: ✅ Paper: Learn about Byte-Pair Encoding: ✅ ✅ ✅ Video: ✅ Unicode: ✅ ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ ⌚️ Timetable: 00:00:00 Intro 00:02:00 High level overview: Interacting with CLIP 00:26:11 High level overview: Prompt engineering for ImageNet 00:40:25 Deep dive starts: vocabulary and byte-pair encoding 00:49:00 Vision Transformer & Text Transformer explained 01:02:00 Tokenization walkthrough 01:09:25 Encoding the image 01:15:15 Encoding the text 01:23:15 Learning a linear probe 01:27:00 Tokenization of the (brain emoji) 01:29:56 Outro ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 💰 BECOME A PATREON OF THE AI EPIPHANY ❤️ If these videos, GitHub projects, and blogs help you, consider helping me out by supporting me on Patreon! The AI Epiphany - One-time donation - Huge thank you to these AI Epiphany patreons: Eli Mahler Kevin Stone Petar Veličković ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 💼 LinkedIn - 🐦 Twitter - 👨‍👩‍👧‍👦 Discord - 📺 YouTube - 📚 Medium - 💻 GitHub - 📢 AI Newsletter - ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ #CLIP #contrastive #codewalkthrough