patelajay285

8 ms·

31.
by patelajay285 5y ago
Our startup made a package powered by SQLite for this very purpose: https://github.com/plasticityai/magnitude Might be worth checking out :)
32.
A Surprising Security Vulnerability on the Google Search Results Page(ajayp.app)
12 points by patelajay285 6y ago|1 comments
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Useful Linux Features and Utilities for Developers(ajayp.app)
1 points by patelajay285 6y ago|0 comments
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Raspberry Pi 4 Kubernetes Cluster with x86 Support(ajayp.app)
2 points by patelajay285 6y ago|0 comments
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Raspberry Pi 4 Kubernetes Cluster with x86 Support(ajayp.app)
2 points by patelajay285 6y ago|0 comments
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A Surprising Security Vulnerability on the Google Search Results Page(ajayp.app)
1 points by patelajay285 6y ago|0 comments
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A Surprising Security Vulnerability on the Google Search Results Page(ajayp.app)
2 points by patelajay285 6y ago|0 comments
38.
by patelajay285 7y ago
We're based in the United States, there are no such regulations. Many companies don't post information about their founders and investors on their homepage (Stripe, Airbnb, Google, Apple, etc.). You should be able to find informat
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by patelajay285 7y ago
We're a YC backed company (YC S17). Nothing to hide, there's plenty of information on us online (CrunchBase, blog posts, TechCrunch, etc.)
40.
by patelajay285 7y ago
We recently released a dataset for NLP / disinformation researchers around similar content found being posted on YouTube instead of Twitter which contains images as well as text. https://media.plasticity.ai/youtube-disi
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YouTube Political Disinformation Dataset Using NLP – Plasticity (YC S17)(media.plasticity.ai)
10 points by patelajay285 7y ago|1 comments
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by patelajay285 7y ago
Yes, we launched our exclusive with CNN. We're happy to answer any more detailed tech questions the HN audience might have here.
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Political Disinformation Campaign on YouTube Using NLP – Plasticity (YC S17)(media.plasticity.ai)
9 points by patelajay285 7y ago|2 comments
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by patelajay285 7y ago
You could, plenty of sites do! It really depends on your write workload, but I would say it would scale pretty well for most small to medium size SaaS companies unless your product is Google scale.
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by patelajay285 7y ago
Yes, I've seen that post as well. Thanks! It's good advice. >> If you don't know how to compile sqlite, I'd argue that you have no business trying to use it's more advanced features. How can you tune or optimi
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by patelajay285 7y ago
Author of SuperSQLite here. SQLite is under-utilized in my opinion! Because of the name, people seem to have the misconception that it can't be used for production workloads. It's true that it generally works well for embedded use
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by patelajay285 7y ago
Hi @coleifer, I'll disagree, I'm the author. I don't think they are gross hacks, just a more sensible default configuration. In fact, I used a lot of your advice from your blog post https://charlesleifer.com/b
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by patelajay285 7y ago
Hi I'm the author, see my parent comment in the thread. This is still a WIP. You're right that it's mostly a Python library, but when it's released, it will actually be released with pre-built native static SQLite librar
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by patelajay285 7y ago
Hi @jgalt, I'm the author of this library, and we've been using it to serve extremely large files over ~130GB at Plasticity (YCS17) for AI model data! Shoot me an email ajay@plasticityai.com and if you'd like to chat, but it
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by patelajay285 7y ago
Hi, I'm the author of this library. This is a pretty common opinion, the SQLite code base is rigorously well tested for performance and correctness. See: https://www.sqlite.org/testing.html https://www.sql
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by patelajay285 7y ago
Hi, I'm the author and founder at Plasticity (YCS17) and built this for some internal use cases our startup. This is actually a Work-in-Progress and not meant to be released yet, but it seems like someone has found it online. I will re
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by patelajay285 7y ago
I'm the author, yes @niea_11's comment is right. We add a HTTP Virtual File System. So you can stream the SQLite files over a static HTTP Server like Amazon S3 using HTTP Range Headers to do it efficiently. No dynamic web softwar
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by patelajay285 7y ago
Hi, I'm the author! It's not a dead project, it's just not released yet, someone seems to have submitted it early :). Will post it back here when it's ready for prime time.
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by patelajay285 8y ago
It depends what you are optimizing for. It's a little slower for random disk reads, but it doesn't matter given we utilize an in-memory LRU cache and most text has a Zipf-ian distribution which will hit the cache very often even w
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by patelajay285 8y ago
See my top-level reply about a similar library called Magnitude that we have built and open-sourced: https://github.com/plasticityai/magnitude . It actually utilizes an LRU cache (configurable cache size argument on the
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by patelajay285 8y ago
Thanks! Still working on it, but it will embed the ELMo model in the .magnitude file, wrap the ELMo model interface code so that it is standardized with Magnitude's features (querying, concatenating, iterating, etc.) and will use ELMo&
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by patelajay285 8y ago
This is interesting work. We at Plasticity (YC S17) have open sourced something similar called Magnitude ( https://github.com/plasticityai/magnitude ) a few months ago for querying vector embeddings quickly with low memo
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by patelajay285 9y ago
Currently, it doesn't support document vectors, but it should be possible to add it and maintain the same interface. We're open to accepting a pull request if your interested in building that feature.
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by patelajay285 9y ago
We recently open sourced a library that makes it easy to quickly get started with pre-trained word vector models like word2vec from Google, Facebook, and Stanford. It adds a ton of extra functionality like fast similiarity indexing with Ann
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by patelajay285 9y ago
We recently open sourced a library that does exactly this: https://github.com/plasticityai/magnitude For word2vec, GloVE, and fastText. It is able to generate vectors for out-of-vocabulary words through "fragments

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