nikhilgarg28

7 ms·

1.
Show HN: Delegate – AI eng manager running team of agents for async multitasking(github.com)
1 points by nikhilgarg28 7mo ago|0 comments
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by nikhilgarg28 3y ago
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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by nikhilgarg28 3y ago
We hadn't considered that at all, will definitely check it out and explore further. Thanks!
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by nikhilgarg28 3y ago
Yes, it wasn't initially there mostly due to an oversight but we later edited the article.
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by nikhilgarg28 3y ago
What is the size and dimensionality of your corpus?
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by nikhilgarg28 3y ago
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. I've now updated the article to clearly mention t
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by nikhilgarg28 3y ago
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 this, around a second to build
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by nikhilgarg28 3y ago
Apologies, that got omitted by mistake. I've now included the post to include that piece of code as well.
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by nikhilgarg28 3y ago
One of the authors of the post here. Happy to take any questions!
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by nikhilgarg28 3y ago
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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by nikhilgarg28 4y ago
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 platform. As part of this, we are building a stream
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Training data generation for real world recommendation systems(blog.fennel.ai)
11 points by nikhilgarg28 4y ago|0 comments
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Two types of information leakage in real world ML Systems(blog.fennel.ai)
7 points by nikhilgarg28 4y ago|0 comments
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by nikhilgarg28 4y ago
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 (which are different from say computer vision models): 1
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by nikhilgarg28 4y ago
(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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Real World Recommendation System(blog.fennel.ai)
357 points by nikhilgarg28 4y ago|148 comments
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by nikhilgarg28 9y ago
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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by nikhilgarg28 9y ago
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 is only capturing rough order
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RAM Is the New Disk(medium.com)
162 points by nikhilgarg28 9y ago|70 comments
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Faster Paint Times(engineering.quora.com)
12 points by nikhilgarg28 10y ago|0 comments