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Google’s Gemini 2.5 Flash introduces ‘thinking budgets’ that cut AI costs by 600% when turned down
New QAT-optimized int4 Gemma 3 models by Google, slash VRAM needs (54GB -> 14.1GB) while maintaining quality.
[D] Pros & Cons of different similarity measures between Key and Query in Attention Mechanisms
Hugging Face Trending
Popular models from Hugging Face• Updated 39 minutes ago
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Popular repositories from GitHub• Updated about 1 hour ago
FunASR
A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.
onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more