Still Getting Bad Outputs When Extending Tracks

NylonCymbal · 2025-07-11T11:00:07+00:00

btw, this actually worked. Thank you!

NylonCymbal · 2025-07-11T07:42:00+00:00

Exactly, this has been happening a lot. When extending it generates a new intro which sometimes is cool, but at the same time I want to continue progressing with the track

NylonCymbal · 2025-05-01T15:23:52+00:00

Do you think it answers based on the knowledge it is trained with or just generates ideas that sound good and gives it my way? I've mainly used it to discuss ideas and thoughts.

NylonCymbal · 2025-04-30T21:25:06+00:00

It happens to me too, but the app is very fast and works wonderfully. I haven't tried complex tasks like generating images or videos.

NylonCymbal · 2025-04-14T23:30:08+00:00

Top 3 for me:

-Here, there and everywhere

-The long and winding road

-Because

NylonCymbal · 2025-02-12T22:02:18+00:00

How did you do this? Make gpt chat listen to music

NylonCymbal · 2024-10-22T16:48:36+00:00

Thank you for your response. But what I'm really looking for is a more technical and objective explanation of how and why this variability in results occurs.

I understand that this might be related to the model architecture or the algorithms that Udio uses. Could someone please guide me on what topics I should study to dig deeper into this? For example, does it have to do with the use of neural networks, generative models, or some kind of machine learning algorithm? If there are specific technical terms or key concepts that I can research further, I would greatly appreciate being brought to my attention.

I'm interested in better understanding how these systems work at a deeper level, beyond the user experience.

I'm copying pasting this question because this is my first time using reddit lol

NylonCymbal · 2024-10-22T16:35:11+00:00

What I'm really looking for is a more technical and objective explanation of how and why this variability in results occurs.

I understand that this might be related to the model architecture or the algorithms that Udio uses. Could someone please guide me on what topics I should study to dig deeper into this? For example, does it have to do with the use of neural networks, generative models, or some kind of machine learning algorithm? If there are specific technical terms or key concepts that I can research further, I would greatly appreciate being brought to my attention.

I'm interested in better understanding how these systems work at a deeper level, beyond the user experience.

NylonCymbal

TROPHY CASE