Kassius509

5 ms·

1. 1.▲
   Show HN: AWS GenAI Accelerator – $300K in non-dilutive credits(aws-startup-lofts.com)

   4 points by Kassius509 3y ago|0 comments
2. 2.▲
   by Kassius509 6y ago

   dendron looks slick. not personally an early adopter when it comes to note taking apps, but might try this out.
3. 3.▲
   by Kassius509 6y ago

   Woah
4. 4.▲
   by Kassius509 6y ago

   I'd recommend using DynamoDB for your database. Best of luck.
5. 5.▲
   by Kassius509 7y ago

   Come on over to AWS. https://aws.amazon.com/activate/
6. 6.▲
   by Kassius509 7y ago

   Looks helpful. Interested to see how the product features stack up compared to Google Colab.
7. 7.▲
   by Kassius509 7y ago

   That is interesting. I"ll have to explore that correlation and make sure that we have a good baseline comparison for the v2.0 model. Thanks!
8. 8.▲
   by Kassius509 7y ago

   Thanks for the feedback Jake!
9. 9.▲
   by Kassius509 7y ago

   Actually, username & story titles aren't included in the model. We may experiment with including them in the future but for now we left them out to avoid any undo bias. Sweetest users is a good question. I'll have to build ou
10. 10.▲
    by Kassius509 7y ago

    For this version we used TextBlob out of the box with some custom weighting to avoid false positives. We'll relaunch in about two weeks with an improved model that we're currently training on a much larger labeled dataset and SOTA
11. 11.▲
    by Kassius509 7y ago

    TYVM. This kind of feedback gets me pumped about continuing to work on it.
12. 12.▲
    by Kassius509 7y ago

    Your account is pretty new. We intentionally remove any accounts with less then ? number of comments to discourage people from attempting to set a record. Lol
13. 13.▲
    by Kassius509 7y ago

    Broadly applied definition, weakly defined.
14. 14.▲
    by Kassius509 7y ago

    Sorry about that, and thank you for the feedback. I'll try to make sure it is more readable in the next version. Thanks for taking the time to check it out!
15. 15.▲
    by Kassius509 7y ago

    https://github.com/sloria/TextBlob/blob/eb08c120d364e9086467... Have at it. :)
16. 16.▲
    by Kassius509 7y ago

    This sounds interesting. I like it.
17. 17.▲
    by Kassius509 7y ago

    Yeah, it really thinks code is salty for some reason.... The Muffin Tops part is making me lol.
18. 18.▲
    by Kassius509 7y ago

    We used TextBlob for this one and penalized to help avoid false-positive classifications for saltiness (subjectivity + negativity).
19. 19.▲
    by Kassius509 7y ago

    You're spot on. This model is based off a dictionary with scored words! For the curious you can see the dictionary here: https://github.com/sloria/TextBlob/blob/eb08c120d364e9086467... The package used i
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    by Kassius509 7y ago

    Oh that's strange! Yep. Need to fix that! Good catch, thanks!
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    by Kassius509 7y ago

    I agree. Would have been much easier too. Unfortunately, HN doesn't have downvotes. The current model does incorporate upvotes, but we're seeing a lot more success training with like-kind labeled datasets + BERT fine tuning. Thank
22. 22.▲
    by Kassius509 7y ago

    Thanks for trying my app! And thank you for taking the time to respond! It does have a LONG way to go. These are valid criticisms. And all areas we are working to improve on with our next ML model. (Sad vs Negative, rating numbers as &quot
23. 23.▲
    by Kassius509 7y ago

    I’m glad you like it! I think we all have room to improve.
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    Mastermind: Using Uber Engineering to Combat Fraud in Real Time(eng.uber.com)

    2 points by Kassius509 8y ago|0 comments
25. 25.▲
    by Kassius509 8y ago

    They have a repo. https://github.com/pim-book/programmers-introduction-to-math...