Llama 3.2: Best Multimodal Model Yet? (Vision Test)

Llama 3.2 Vision Model is one of the top-performing models you can run locally on your computer for free! In this video, we put Llama 3.2's multimodal capabilities to the test. 🧑‍💻🌐 From image recognition, CAPTCHA solving, QR code scanning, to text extraction, we examine how well the 90-billion parameter and 11-billion parameter models perform. 🔍 What's in this video? Testing image analysis and modification suggestions 🛋️ Attempting CAPTCHA and QR code recognition 📸 Finding Wally and identifying people in an image 🤔 Extracting tables and generating HTML/CSS code for designs 💻 🚀 The results show some impressive strengths but also reveal a few limitations! Curious about Llama 3.2's capabilities? Watch the full video to find out. 🔗 Links: Patreon: https://patreon.com/MervinPraison Ko-fi: https://ko-fi.com/mervinpraison Discord: https://discord.gg/nNZu5gGT59 Twitter / X : https://twitter.com/mervinpraison GPU for 50% of it's cost: https://bit.ly/mervin-praison Coupon: MervinPraison (A6000, A5000) 0:00 - Introduction to Llama 3.2 Vision model 0:18 - Test setup using Together.ai 0:40 - Image analysis and simplification suggestions 1:26 - CAPTCHA text extraction 1:53 - Traffic light CAPTCHA test (failed) 2:21 - QR code URL extraction attempt (failed) 2:35 - "Where's Waldo?" test (failed) 3:01 - Person identification test (failed) 3:18 - Table extraction from image 3:54 - HTML/CSS code generation from image 4:45 - Generated code output review 5:11 - Overall performance summary 5:23 - Conclusion