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Dan Biderman
@dan_biderman
参加 March 2017
1.6K フォロー中    3.6K ファン
Like real people, Engram's models use both neural memories and written notes to tackle hard tasks. Many legal tasks require reingesting the same persistent context: the firm filesystem. Scaling compute preemptively on that filesystem can obviate many challenges at inference time and unlock new types of behaviors.
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Today we're publishing our first research blog, Understanding a Law Firm through Study. We're sharing a glimpse of a future where agents are trained with native memory: