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@@ -133,6 +133,13 @@ python setup.py install
 * [vayuda](https://github.com/vayuda) with generic bitpacking kernels that were code generated using pure PyTorch [prototype/common](torchao/prototype/common)
 * [andreaskopf](https://github.com/andreaskoepf) and [melvinebenezer](https://github.com/melvinebenezer) with [1 bit LLMs](torchao/prototype/dtypes) Bitnet 1.58 bitpacked into uint2 and fully code-generated with torch.compile
 
+## Blogs and Videos
+* [Accelerating Neural Network Training with Semi-Structured (2:4) Sparsity](https://pytorch.org/blog/accelerating-neural-network-training/)
+* [https://mobiusml.github.io/whisper-static-cache-blog/](https://mobiusml.github.io/whisper-static-cache-blog/)
+* [Slaying OOMs at the Mastering LLM's course](https://x.com/HamelHusain/status/1800315287574847701)
+* [Advanced Quantization at CUDA MODE](https://youtu.be/1u9xUK3G4VM?si=4JcPlw2w8chPXW8J)
+* [Chip Huyen's GPU Optimization Workshop](https://www.youtube.com/live/v_q2JTIqE20?si=mf7HeZ63rS-uYpS6)
+
 ## How to contribute
 
 This repository is currently under heavy development