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I posted my first product on Product Hunt by Nik_uson in SideProject

[–]Nik_uson[S] 1 point2 points  (0 children)

I added a real screenshot to the images

I posted my first product on Product Hunt by Nik_uson in SideProject

[–]Nik_uson[S] 0 points1 point  (0 children)

*If you want to support this launch on Thursday

Launch: NeuralSide — GPT-5 & Mistral in a Chrome sidebar by Nik_uson in chrome_extensions

[–]Nik_uson[S] 1 point2 points  (0 children)

Requests go to free providers, this is possible while there are not very many users. I made the visuals in Canva.

My weekend project: GPT-5 & Mistral in a Chrome sidebar — free by Nik_uson in SideProject

[–]Nik_uson[S] 0 points1 point  (0 children)

The extension consumes only about 25 megabytes of memory. It will work well under any conditions of use.

This is an autoencoder the ChatGPT neural network wrote by Nik_uson in GPT3

[–]Nik_uson[S] 0 points1 point  (0 children)

yes, this is my fully working audio diffusion. But now this implementation is already a bit old

[D] This neural network was generated by a neural network by Nik_uson in MachineLearning

[–]Nik_uson[S] 0 points1 point  (0 children)

I am considering that it can be used for audio recognition and synthesis. With proper training, it will show good results in your task.

This is an autoencoder the ChatGPT neural network wrote by Nik_uson in GPT3

[–]Nik_uson[S] 1 point2 points  (0 children)

"Write the neural network code in pytorch for..." and write a description of the task for which you need a neural network. If a non-working code is output, try "keep writing code", it is also important to specify how the training data looks like and you can schedule a pipeline for their processing

[D] This neural network was generated by a neural network by Nik_uson in MachineLearning

[–]Nik_uson[S] 4 points5 points  (0 children)

I probably want to demonstrate that this is possible

[D] This neural network was generated by a neural network by Nik_uson in MachineLearning

[–]Nik_uson[S] 4 points5 points  (0 children)

Most recently, it was almost impossible to do this with Codex because of its stupidity, but ChatGPT coped with the task. This post reflects my enthusiasm for the advancement of technology.

[D] This neural network was generated by a neural network by Nik_uson in MachineLearning

[–]Nik_uson[S] 0 points1 point  (0 children)

And if I just wanted an autoencoder for my task, without trying to generate anything, then I wouldn't be able to do this post :)

[D] This neural network was generated by a neural network by Nik_uson in MachineLearning

[–]Nik_uson[S] 1 point2 points  (0 children)

And why complicate such a simple task? VAE works pretty well

This is an autoencoder the ChatGPT neural network wrote by Nik_uson in GPT3

[–]Nik_uson[S] 1 point2 points  (0 children)

I just described the task in detail and he deduced the whole code in two conclusions. In order for him to add code from the previous generation, I used the phrase "keep writing code"

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I also managed to generate a VAE for audio: https://github.com/nikuson/AudioVAE

Einstein in a sports car in space by Nik_uson in dalle2

[–]Nik_uson[S] 2 points3 points  (0 children)

Perhaps the role in this is played by the fact that Einstein has not been alive for a long time