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DeepSeek-R1 in 4 steps: Will it beat OpenAI?

https://www.youtube.com/watch?v=aB-WQixErw8
DeepSeek-R1 redefines AI innovation with cost-efficient training and exceptional reasoning capabilities. Using reinforcement learning, it rivals industry leaders like GPT-4, achieving top benchmarks in reasoning, coding, and educational tasks. Its open-source distillation process empowers researchers to create smaller, powerful models, paving the way for more accessible and impactful AI development.

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AcademicMachine LearningSeriesTechnology

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.

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