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nikhilgarg28

HN member
Joined
Sat, Mar 03, 2012, 11:10 AM UTC
HN karma
268
Public activity
23 items

About nikhilgarg28

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Recent public activity

  1. story
    Show HN: Delegate – AI eng manager running team of agents for async multitasking

    I built Delegate because I was tired of babysitting AI coding agents. Cursor is fast but you're in the chair. I wanted to hand off five tasks and come back to PRs with agents alrea…

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    Comment #36350918

    One of the authors of the post here. I've never heard of this approach but it sounds really cool. Will definitely try it out someday!

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    Comment #36345922

    We hadn't considered that at all, will definitely check it out and explore further. Thanks!

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    Comment #36345916

    Yes, it wasn't initially there mostly due to an oversight but we later edited the article.

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    Comment #36344937

    What is the size and dimensionality of your corpus?

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    Comment #36344870

    The article isn't meant to present a new library competing with Annoy or other state of the art approaches, but instead, describe how vector search works using short code snippets.…

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    Comment #36344663

    We did some benchmarking and found that an index of 1M vectors using 15 trees can be built up in ~115 seconds (8 CPU, 8 GB RAM). https://github.com/fennel-ai/fann/pull/8 . Given th…

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    Comment #36344382

    Apologies, that got omitted by mistake. I've now included the post to include that piece of code as well.

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    Comment #36344329

    One of the authors of the post here. Happy to take any questions!

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    Comment #36311342

    One of the post authors here. While building/writing this was fun, FWIW, we were really surprised by how fast the Rust version turned out to be with relatively little effort.

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    Comment #33881689

    Fennel | Distributed System Engineer | Menlo Park (Bay Area) or Remote | Full time ( https://fennel.ai/ ) Fennel is an ML Infra company building realtime feature engineering platfo…

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    Comment #30997089

    Model deployment is an important but still tiny part of the overall ranking/recommendation systems. Bulk of the complexity stems from two key properties of recommendation systems (…

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    Comment #30992239

    (Disclaimer: I'm the author of the post) Good feedback, noted. Will get the next post focused on training within the next couple of days.

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    Comment #14888766

    Curious - why did people not agree with you? Was it an ideological belief or were they betting on some assumptions that turned out to be incorrect?

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    Comment #14888549

    That's very interesting. The estimate of 100ns came from here: https://people.eecs.berkeley.edu/~rcs/research/interactive_l... . and is probably not very precise (maybe because it …

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