How can we scale AI models to be smarter and more efficient without the instability and immense compute? CMU & Meta researchers introduce STEM! Their new method replaces complex Transformer up-projections with a static, token-indexed "embedding lookup system." Think of it as
STEM: Scaling Transformers Efficiently with Static Token Embeddings
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