Imagine trying to teach a toddler a new skill, like stacking blocks to build a tower. You’d show them, maybe guide their little hands, and explain, "This one goes on top." After a few tries, they ...
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The Definitive Guide to LLaVA: Inferencing a Powerful Visual Assistant
To develop AI systems that are genuinely capable in real-world settings, we need models that can process and integrate both visual and textual information with high precision. This is the focus of ...
Introducing BLIP3-o: The Unified Multimodal Model
The landscape of Artificial Intelligence is rapidly evolving towards models that can seamlessly understand and generate information across multiple modalities, like text and images. Salesforce AI ...
Inside the GPU: A Comprehensive Guide to Modern Graphics Architecture
In computing, Graphics Processing Units (GPUs) have transcended their original role, rendering simple polygons to become the workhorses behind realistic gaming worlds, machine learning advancements, ...
Distributed Parallel Training: PyTorch Multi-GPU Setup in Kaggle T4x2
Training modern deep learning models often demands huge compute resources and time. As datasets grow larger and model architecture scale up, training on a single GPU is inefficient and time consuming. ...
MONAI: The Definitive Framework for Medical Imaging Powered by PyTorch
Medical imaging is pivotal in modern healthcare, enabling diagnosis, treatment planning, and disease monitoring across modalities like MRI, CT, and pathology slides. However, developing robust AI ...
