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Dan Biderman
@dan_biderman
加入 March 2017
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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: