Yzmblog/DMAD
+37DMAD: Distribution Matching as Adversarial Distillation for Fast Visual Generation
Chủ đề #distillation trên GitHub — repository trong kho Beeknoee có gắn topic này.
DMAD: Distribution Matching as Adversarial Distillation for Fast Visual Generation
A 14M-parameter LLM keeps a virtual fish tank alive on an $8 ESP32-S3 — distilled from a 26B teacher into 7.56 MB, no network.
A unified inference and post-training framework for accelerated video generation.
Implement a reasoning LLM in PyTorch from scratch, step by step
All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
TurboDiffusion: 100–200× Acceleration for Video Diffusion Models
the agi compiler: records llm agent behavior, proves what repeats, and compiles it into verified, sandboxed wasm binaries that run for microdollars. nothing figured out twice, paper: https://arxiv.org/abs/2607.04542
Awesome Knowledge Distillation
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