Mind blow by NotebookLM generating podcast on LLM Sparsity
1 point by nrjpoddar 1 week ago | 2 commentsWe tested its ability to explain sparsity in LLMs - a concept that’s highly technical and often misunderstood.
Inputs: Our GitHub repo ( link in comments) Research papers: Deja Vu & LLM in a Flash A Reddit thread rich in community commentary
The output was pure magic
A clean, cogent podcast that distills all of it - sparsity, memory access, retrieval patterns into something even non-ML researchers can grasp.
- nrjpoddar 1 week agohttps://github.com/NimbleEdge/sparse_transformers and https://www.reddit.com/r/LocalLLaMA/comments/1l44lw8/sparse_... were the inputs
- Leynos 1 week agoI find that if I generate a Deepresearch paper in Gemini first, then pass that Deepresearch paper to NotebookLM, I get really good results if I don't have the sources to hand first.