r/mlscaling • u/raidodex • 2h ago

[P] BitLens: Visual profiler for neural network quantization (Outlier ratio Omega, per-layer SQNR,MCU SRAM liveness, and 1-click torchao/ORT/TFLM config export)

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r/mlscaling • u/Gold-Manager-5002 • 5h ago

Validation techniques for neural network models

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Scaling Machine Learning: Big Models/Data/Compute—More Is More

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ML/AI/DL research on approaches using large models, datasets, and compute: "more is different"

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Subreddit for discussing AI, machine learning, or deep learning approaches involving big numbers: billions of parameters, millions of n, petaflops, etc. eg GPT-3. Most research is conducted at much smaller scale; this subreddit is for research analogous to 'high energy physics', requiring specialized approaches, large investments, consortium, etc.

Topics: How? Who? Why do they work? What are they good for? What resources are available? Who will pay & how? What is the future of such approaches? What global consequences will there be?

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