yoavz

6 ms·

1.
by yoavz 1y ago
Excellent product, congrats on the launch guys!
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by yoavz 3y ago
Correct, it's the inverse that requires disclosure by Youtube. Still, I find it interesting. If you can't synthetically alter someone's performance to be "worse", is it OK that the NFL synthetically altered Alicia K
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by yoavz 3y ago
I am not envious of the policy folks at Youtube who will have to parse out all the edge cases over the next few years. They are up against a nearly impossible task. https://novehiclesinthepark.com/
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by yoavz 3y ago
Most interesting example to me: "Digitally altering audio to make it sound as if a popular singer missed a note in their live performance". This seems oddly specific to the inverse of what happened recently with Alicia Keys from t
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Show HN: A weekly ranking of the most viral creators and sounds on TikTok(hot.trendpop.social)
3 points by yoavz 5y ago|0 comments
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by yoavz 6y ago
This looks excellent. In my opinion, these kinds of apps are the future of data science / data analyst work. Forget no-code, just enable these professionals to work in a single programming language that they're familar with and gi
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by yoavz 6y ago
I love that fuzzy date search use-case, will try testing that out.
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by yoavz 6y ago
Pretty cool. The embedding similarity approach makes a lot of sense. I actually this project by experimenting with computing cosine similarities of sentence embeddings [1]. But I wasn't very impressed with out-of-the-box results, and I
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by yoavz 6y ago
Yep -- no calls to any API backend.
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by yoavz 6y ago
The extension feeds it context data in chunks (e.g. only one <p> element at a time). I could see TensorFlowJS BERT struggling with a single sequence of 87 KB -- have you tried breaking them up?
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by yoavz 6y ago
Thanks, really nice to hear :)
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Show HN: Shift-Ctrl-F: Search a webpage with natural language and TensorFlowJS(github.com)
143 points by yoavz 6y ago|27 comments
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by yoavz 6y ago
I just got access to GPT3! Have only played around with it for a few hours so far, but haven't gotten it to reliably summarize.
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by yoavz 6y ago
Nope, I've developed and hosted my own summarization API here. It does heavily rely on open-source machine learning libraries and research / datasets released by Facebook AI [1] [1] https://ai.facebook.com/research
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by yoavz 6y ago
https://readable.com/ is an interesting tool I came across in my research you might be interested in. It relies on the Flesch–Kincaid readability tests [1] and has found sustained usage. Actually, now that I think about it.
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by yoavz 6y ago
Interesting take because there is a school of thought that comes to the opposite conclusion: emails should be more like text messages: http://five.sentenc.es/ . I think the most interesting part of this problem is the ambigu
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by yoavz 6y ago
Yes, you are correct -- I linked to this research on the frontpage as a citation.
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by yoavz 6y ago
The original inspiration and example featured on the website was from a blog post on cold "welcome" email copy: https://www.gkogan.co/blog/increase-reply-rates/ . I'd love to test it on more marketin
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by yoavz 6y ago
Good looking out! Will fix that.
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by yoavz 6y ago
When I was researching this product area, I found a bunch of similar tools that summarized on the inbound side. I thought it would be more interesting to experiment on the outbound side as the main initial focus, which I haven't seen.
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by yoavz 6y ago
Interesting. I have a different experience than you -- I often find myself writing an email that's way too long and trimming it down later. For the design of this tool, it was important for me to "not get in the way" if you&#
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by yoavz 6y ago
Author here. If you're talking about https://www.gkogan.co/blog/increase-reply-rates/ , this was a primary inspiration for this project -- I even stole the name ;)
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Show HN: Say Less – AI summarization tool in the Gmail compose window(sayless.email)
135 points by yoavz 6y ago|57 comments
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The Bad Parts of TensorFlow Datasets(determined.ai)
1 points by yoavz 6y ago|0 comments
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Show HN: Open-source toolkit for deploying scikit-learn models on AWS Lambda(github.com)
2 points by yoavz 6y ago|0 comments
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Interoperability is holding back machine learning infrastructure(modelzoo.dev)
5 points by yoavz 6y ago|0 comments
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Interoperability is holding back machine learning infrastructure(medium.com)
2 points by yoavz 6y ago|0 comments
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by yoavz 6y ago
Woops! Yep, Model Zoo is somewhat of an overloaded name.
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by yoavz 6y ago
Hey Dmitry! Good to meet you -- I'm a big fan of DVC. In our implementation, we've taken the approach of conforming to the standards (typically open-source) set by the frameworks for serialization (for example https://w
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by yoavz 6y ago
Yes, model metrics are monitored when deployed -- performance metrics are enabled by default, and feature / prediction monitoring depends on the framework you're using. You can take a look at an example here: https://ap

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