Casos de uso de Vision con los modelos Llama 3.2 11B y 90B de Meta
Hoy nos complace anunciar la disponibilidad de Llama 3.2 en amazon SageMaker JumpStart y amazon Bedrock. Los modelos Llama 3.2 ...
Tag: Vision
How Northpower used computer vision with AWS to automate safety inspection risk assessments
This post is co-written with Andreas Astrom from Northpower. northern power It provides reliable and affordable electricity and fiber internet ...
Best Vision Language Models for Document Data Extraction
Vision Language Models (VLMs) are set to become ubiquitous, sparking a surge of tools that can address day-to-day visual challenges. ...
The new EufyCam S3 Pro promises impressive night vision
The newest security camera eufy (Anker smart home company) can see clearly in the dark, uses radar motion sensors to ...
Is scalability the only path to AI supremacy? This AI paper reveals the “lurking ghost” of big language and vision models
Large language and vision models (LLVMs) face a critical challenge in balancing performance improvements with computational efficiency. As models increase ...
A Comprehensive Guide to Vision Language Models (VLMs)
Introduction Imagine walking through an art gallery, surrounded by vivid paintings and sculptures. Now, what if you could ask each ...
With visionOS 2, Apple's Vision Pro takes center stage
This week, Apple released updates to all of its major operating systems, and the Vision Pro was no exception. With ...
Rise Vision Introduces New Screen Sharing Feature to Improve Collaboration and Interaction
Vision of ascent, The number one digital signage software solution is excited to announce the launch of its new screen ...
Google DeepMind researchers propose human-centric alignment for vision models to boost AI generalization and interpretability
Deep learning has made significant advances in artificial intelligence, particularly in natural language processing and computer vision. However, even the ...
MedUnA: Efficient classification of medical images through unsupervised adaptation of vision and language models
Supervised learning in medical image classification faces challenges due to the scarcity of labeled data, as expert annotations are difficult ...
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