AI Fusion LLAMA 3.2 11B Vision Fully Tested (Medical X-ray, Car Damage Assessment, Data Extraction) #llama3.2

🎯 Загружено автоматически через бота: 🚫 Оригинал видео: 📺 Данное видео принадлежит каналу «AI Fusion» (@AIFusion-official). Оно представлено в нашем сообществе исключительно в информационных, научных, образовательных или культурных целях. Наше сообщество не утверждает никаких прав на данное видео. Пожалуйста, поддержите автора, посетив его оригинальный канал. ✉️ Если у вас есть претензии к авторским правам на данное видео, пожалуйста, свяжитесь с нами по почте support@, и мы немедленно удалим его. 📃 Оригинальное описание: In this video, we dive deep into the capabilities of the LLAMA 3.2 model, specifically the 11 billion parameter version, and put it to the test across various image recognition and analysis tasks. From visual representations and medical X-rays to counting objects and recognizing car damage, we explore the model’s accuracy and performance. What You’ll See in This Video: Introduction: Brief overview of the model and the different areas we’ll be testing, including image understanding, visual representation, medical uses, data entry, and more. Image Recognition Tests: LLAMA 3.1 GPU Requirements: Analyzing a visual representation of GPU requirements for the 70 billion parameter model. Primary Flight Commands: Testing the model’s ability to describe an image of a plane’s primary flight commands. Data Extraction from Receipts: We test how well the model can extract key data points, such as item names and prices, from a Staples receipt. Celebrity Recognition Tests: We attempt to have the model recognize public figures from images, noting its limitations in identifying individuals. Medical X-ray Analysis: Identifying foreign objects in an X-ray image and providing detailed descriptions. Analyzing another X-ray of a broken wrist, showcasing the model’s impressive accuracy. Counting Objects: We test the model’s ability to count people in images and assess its accuracy with various scenarios, including a parking lot and a group of docks. Car Damage Assessment: Finally, we evaluate how well the model can identify a damaged car, estimate repair costs, and provide insights on the specific damage. Overall, the performance of the LLAMA 3.2 model is impressive, especially given it’s just the 11 billion parameter version. Join us as we explore the remarkable capabilities of this advanced AI model! Don’t forget to like, subscribe, and hit the notification bell for more exciting content! #LLAMA3 #ImageRecognition #AI #MachineLearning #XrayAnalysis #DataExtraction #ObjectCounting #CarDamage #AIResearch #TechReview #ArtificialIntelligence #Grok #XAI #AIApplications