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SoftServe: A Scalable Quasi-Newton Method for Deep Learning

Quasi-Newton (QN) methods have long been among the most effective methods for large-scale unconstrained convex optimization. Two obstacles have limited their use in deep learning: non-convexity and enormous parameter sizes. We introduce SoftServe, a family of QN methods designed to overcome these obstacles without line searches or ad hoc curvature corrections. SoftServe derives positivedefinite…

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I gave my coding agent a sense of taste. It picks restaurants from my music.

My coding agent can refactor a thousand lines without breaking a sweat, but ask it "where should I take a date Friday night" and it's useless. It knows my code. It knows nothing about my taste.

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  • Agent recommends restaurants based on music preferences

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