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Beth Kindig
@Beth_Kindig
Investor with higher returns than Wall Street's Old Boys Club. Audited portfolio, automated hedge and free weekly analysis.
参加 February 2012
5K フォロー中    183.6K ファン
Model complexity and the KV cache are two primary drivers for memory, especially for inference requiring increasingly large context windows. Context windows for OpenAI’s leading models have risen 230-260X in three years to 1.05M tokens, while Meta’s Llama 4 Scout is 10X higher at 10M. $MSFT $AMZN $META $GOOG $MU
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