Knowledge Distillation

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Gemma 4 QAT models: Optimizing model compression for mobile and laptop efficiency

 🤖AI  Content type: News  Content type: Blog
blog.google··Hacker News
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Sigma-Branch: Hierarchical Single-Path Network Reconstruction for Dynamic Inference with Reduced Active Parameters

 🧠Machine Learning  Content type: Academic
arxiv.org·

apple/coreai-models: Model export recipes, Python primitives, and Swift runtime utilities for on-device AI

 Edge AI  Content type: Code
github.com··Hacker News

Knowledge Distillation for Visual Autoregressive Models

 🖼️Multimodal AI  Content type: Academic
arxiv.org·

LLMCodec: Adapting Video Codecs for Efficient Weight Compression of Large Language Models

 🤖LLM  Content type: Academic
arxiv.org·

SecRL-Prune: Structured Reinforcement Learning-Based Pruning of CodeLLMs for Preserving Adversarial Code Mutation

 🔐Cryptography  Content type: Academic
arxiv.org·

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies

 🖼️Multimodal AI  Content type: Academic
arxiv.org·

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