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  • All (20993) +299
    • AI (3155) +14
    • DevOps (933) +7
    • Software (11054) +203
    • IT (5802) +74
    • Education (48)
  • Notice
  • All (20993) +299
  • AI (3155) +14
  • DevOps (933) +7
  • Software (11054) +203
  • IT (5802) +74
  • Education (48)
  • Notice
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  • 3 weeks ago · ai

    Deep Convolutional Networks on Graph-Structured Data

    Overview Most smart machines have become amazing at processing photos and sound because those data types have clear patches and layers. However, text, genes, a...

    #graph neural networks #deep learning #graph convolutional networks #graph-structured data #model efficiency
  • 0 month ago · ai

    What Happens When You Build an LLM Using Only 1s and 0s

    An LLM that's 41× more efficient and 9× faster than today's standard models The post What Happens When You Build an LLM Using Only 1s and 0s appeared first on T...

    #LLM #model efficiency #binary representation #AI research #large language models
  • 1 month ago · ai

    📌 Most models use Grouped Query Attention. That doesn’t mean yours should.📌

    !Article illustrationhttps://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazo...

    #grouped query attention #attention mechanisms #transformers #model efficiency #scalable AI #deep learning #neural network architecture
  • 1 month ago · ai

    Ai2's new Olmo 3.1 extends reinforcement learning training for stronger reasoning benchmarks

    The Allen Institute for AI Ai2 recently released what it calls its most powerful family of models yet, Olmo 3. But the company kept iterating on the models, exp...

    #Olmo 3.1 #reinforcement learning #reasoning benchmarks #Allen Institute for AI #large language models #model efficiency
  • 1 month ago · ai

    [Paper] Frequency-Aware Token Reduction for Efficient Vision Transformer

    Vision Transformers have demonstrated exceptional performance across various computer vision tasks, yet their quadratic computational complexity concerning toke...

    #vision transformers #token reduction #frequency-aware pruning #computer vision #model efficiency
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