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AI and machine learning
Technow: Block sparsity by Meta, RAPIDS cuDF by Nvidia, efficient-kan
Unlocking faster AI performance is the focus of today’s post! Discover how block sparsity speeds up Vision Transformers (ViTs) by 1.46x with minimal accuracy loss, potentially benefiting large language models too. Learn about RAPIDS cuDF integration in Google Colab, offering up to 50x acceleration for pandas code on GPU instances. Plus, dive into the efficient implementation of Kolmogorov-Arnold Network (KAN) that reduces memory costs and enhances computation efficiency.
Series
Technow: Block sparsity by Meta, RAPIDS cuDF by Nvidia, efficient-kan
Unlocking faster AI performance is the focus of today’s post! Discover how block sparsity speeds up Vision Transformers (ViTs) by 1.46x with minimal accuracy loss, potentially benefiting large language models too. Learn about RAPIDS cuDF integration in Google Colab, offering up to 50x acceleration for pandas code on GPU instances. Plus, dive into the efficient implementation of Kolmogorov-Arnold Network (KAN) that reduces memory costs and enhances computation efficiency.
Finance
Attract smart people to work in your AI startup
In the competitive landscape of tech startups, attracting smart and talented individuals is crucial for success. This guide provides actionable steps to make your startup appealing to top talent, with a focus on SAAS and tech companies facing challenges with AI advancements and developer costs.
Digital products
Dive into exclusive knowledge and innovation, from Python to C, MATLAB, AI projects, and comprehensive study guides in programming and machine learning. (Free products available)