JON NEEDS A JOB | Suno
[metal, screamo, hardcore, growling] song. Listen and make your own with Suno.
app.suno.ai
This is beyond a virtual band. The generative abilities of these models is something the world hasn't seen before. Suno.ai hasn't even been around for 3 years.we gon see, we've had virtual bands before of course
These models can figure it out. That's literally what they're designed to do.They're universal function approximators. If they can figure out how to simulate global weather patterns they can figure out Silk the Shockers rhyme pattern.New music will be anti rhythm so the ai cant figure it out
The real artists will thrive. The fakes will fall. Cant wait
The Universal Approximation Theorem
Mathematically speaking, any neural network architecture aims at finding any mathematical function y= f(x) that can map attributes(x) to output(y). The accuracy of this function i.e. mapping differs depending on the distribution of the dataset and the architecture of the network employed. The function f(x) can be arbitrarily complex. The Universal Approximation Theorem tells us that Neural Networks has a kind of universality i.e. no matter what f(x) is, there is a network that can approximately approach the result and do the job! This result holds for any number of inputs and outputs.
Literally gave me the same lyrics. Hmmmmmm. LolStreets of Shaolin by @bigmood | Suno
1990s gritty New York Hip hop beat, violins, r&b background vocals, hip hop sample,dj scratching song. Listen and make your own with Suno.app.suno.ai
A little better
Streets of Shaolin by @bigmood | Suno
1990s gritty New York Hip hop beat, violins, r&b background vocals, hip hop sample,dj scratching,wu-tang clan song. Listen and make your own with Suno.app.suno.ai
You can fugure it out but you wont know to do that first. It needs a base first to work off of. It wont know how to make certain type of songs until theyre made.This is beyond a virtual band. The generative abilities of these models is something the world hasn't seen before. Suno.ai hasn't even been around for 3 years.
These models can figure it out. That's literally what they're designed to do.They're universal function approximators. If they can figure out how to simulate global weather patterns they can figure out Silk the Shockers rhyme pattern.
That's not true. These models don't just train on human generated data anymore. They also train on AI generated data as well.You can fugure it out but you wont know to do that first. It needs a base first to work off of. It wont know how to make certain type of songs until theyre made.
Reinforcement Learning from AI Feedback (RLAIF) is a method devised by Anthropic that is designed to overcome many of the shortcomings of RLHF. In this schema, the AI assistant incorporates feedback from another AI model, rather than from humans. Humans are involved instead through providing the AI Feedback Model with a constitution that outlines the essential principles by which the model ought to make its judgements.
What are these assumptions based on?I doubt these things can make real sounding boomvap for a while with real sounding dusty “samples” Other shyt sure. When it can itll be super simple. Its gon be sometime before it adapts correctly.
Every single one ive seen not being able to do what they say they do… the one above works in the trap sound. That “wu tang” beat sounds NOTHING like a real rap beat at all.That's not true. These models don't just train on human generated data anymore. They also train on AI generated data as well.
How Reinforcement Learning from AI Feedback works
Reinforcement Learning from AI Feedback (RLAIF) is a supervision technique that uses a "constitution" to make AI assistants like ChatGPT safer. Learn everything you need to know about RLAIF in this guide.www.assemblyai.com
What are these assumptions based on?
I remixed yours in custom modeLiterally gave me the same lyrics. Hmmmmmm. Lol
Some throwback Memphis shyt
It's cool but it's not replacing shyt imo