Denigma: The ML-powered service that understands and explains code
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Re: Denigma: The ML-powered service that understands and explains code
#2* There's a demo available– no sign in is required to use it. Try throwing complex code at it.
* Check out the sample code and explanations by clicking on the different tabs.
* Denigma works on any language.
* We have a separate "for developers" landing page: https://denigma.app
* Creator here, AMA.
Re: Denigma: The ML-powered service that understands and explains code
#3* There's a demo available– no sign in is required to use it. Try throwing complex code at it. * Check out the sample code and explanations by clicking on the different tabs. * Denigma works on any language. * We have a separate "for developers" landing page: https://denigma.app * Creator here, AMA.
The examples are impressive however I would suggest being slightly more conservative in claiming what it can explain. I definitely think it is over reaching to claim that it works on any language.
Re: Denigma: The ML-powered service that understands and explains code
#4* There's a demo available– no sign in is required to use it. Try throwing complex code at it. * Check out the sample code and explanations by clicking on the different tabs. * Denigma works on any language. * We have a separate "for developers" landing page: https://denigma.app * Creator here, AMA.
The examples are impressive however I would suggest being slightly more conservative in claiming what it can explain. I definitely think it is over reaching to claim that it works on any language.
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Re: Denigma: The ML-powered service that understands and explains code
#5Copying my comment from a previous post:
From the first example:
> return -tf.reduce_mean((T("input") - 0.5)2)*
Don't you want to use the average instead of "0.5"?
From the explanation:
> The code is a function that takes in an input tensor and returns the mean squared error of the input.
It's hard to believe that the system can detect that it's the "mean squared error". Is this an explanation a real example from the implementation, or it's just a handmade example?
Note: Wait more time to repost. Users usually get angry and start to flag our post is you repost too often.
Also, as mimixco said in https://news.ycombinator.com/item?id=28131271
> The live example on the home page doesn't seem to work. I assumed JS was supported and typed this:
> const addOne = function(someNumber) { return someNumber + 1 }
> The "explain" box shows nothing.
> This site makes bold claims which, so far, I don't see backed up by anything. Even the "join waitlist" dialog is broken!
> Next...
I tried and got the same outcome.
Re: Denigma: The ML-powered service that understands and explains code
#6Copying my comment from a previous post: From the first example: > return -tf.reduce_mean((T("input") - 0.5) 2)* Don't you want to use the average instead of " 0.5 "? From the explanation: > The code is a function that takes in an input tensor and returns the mean squared error of the input. It's hard to believe that the system can detect that it's the "mean squared error". Is this an explanation a real example from…
> It's hard to believe that the system can detect that it's the "mean squared error". Is this an explanation a real example from the implementation, or it's just a handmade example?
> Don't you want to use the average instead of "0.5"?
It's from the real implementation. The code was some code a user sent in, which I ran the tool on.
> I tried and got the same outcome.
I fixed the waitlist– there was a problem, where if you typed your email then filled out the rest of the form without editing the email field, the waitlist signup would fail.
The live demo works for me and a couple others.
Re: Denigma: The ML-powered service that understands and explains code
#7Copying my comment from a previous post: From the first example: > return -tf.reduce_mean((T("input") - 0.5) 2)* Don't you want to use the average instead of " 0.5 "? From the explanation: > The code is a function that takes in an input tensor and returns the mean squared error of the input. It's hard to believe that the system can detect that it's the "mean squared error". Is this an explanation a real example from…
> I tried and got the same outcome.
Hm, I've tried it just now and got this: https://i.imgur.com/01MIEWD.png
> Note: Wait more time to repost.
Thanks, I'll remember that.
I saw the previous post gaining no traction, and personally had fun testing the service with C / Audio code before, so I wanted it to stay afloat a bit longer, at least.
> It's hard to believe that the system can detect that it's the "mean squared error".
I won't be surprised ML model detected it, statistics-wise, associating "Tensorflow" and "mean" with "mean squared error". Happened when I fed it CLIP-related code.
> Don't you want to use the average instead of "0.5"?
It was tested on the real-life code, looks like a Colab I have previously recommended.
https://colab.research.google.com/drive/1WWo2L7ZMdslbZyOg-pq...
Re: Denigma: The ML-powered service that understands and explains code
#8Copying my comment from a previous post: From the first example: > return -tf.reduce_mean((T("input") - 0.5) 2)* Don't you want to use the average instead of " 0.5 "? From the explanation: > The code is a function that takes in an input tensor and returns the mean squared error of the input. It's hard to believe that the system can detect that it's the "mean squared error". Is this an explanation a real example from…
> It's hard to believe that the system can detect that it's the "mean squared error". Is this an explanation a real example from the implementation, or it's just a handmade example? > Don't you want to use the average instead of "0.5"? It's from the real implementation. The code was some code a user sent in, which I ran the tool on. > I tried and got the same outcome. I fixed the waitlist– there was a problem, where…
Now the demo is working and fast now.
I tried variations of the same code, changing the name of the `inner` function to `temp` and `banana`. In each of them I got a different explanation, for example:
> - The code is a function that takes in an input tensor and returns the squared difference between it and 0.5.
that I think it's more correct than "mean squared error". You should change that example.
I also got:
> - The code is called l2, which stands for "linear regression."
That is wrong.
Re: Denigma: The ML-powered service that understands and explains code
#9Earlier quoted context omitted.
> It's hard to believe that the system can detect that it's the "mean squared error". Is this an explanation a real example from the implementation, or it's just a handmade example? > Don't you want to use the average instead of "0.5"? It's from the real implementation. The code was some code a user sent in, which I ran the tool on. > I tried and got the same outcome. I fixed the waitlist– there was a problem, where…
Now the demo is working and fast now. I tried variations of the same code, changing the name of the `inner` function to `temp` and `banana`. In each of them I got a different explanation, for example: > - The code is a function that takes in an input tensor and returns the squared difference between it and 0.5. that I think it's more correct than "mean squared error". You should change that example. I also got: > - T…
> that I think it's more correct than "mean squared error". You should change that example.
Thank you for the feedback.
> - The code is called l2, which stands for "linear regression."
If you can give me the full explanation, I can see what I can do to improve the accuracy there. (It's needed for debugging.)
Over time, more data will be added in the future so that accuracy and detail improves.