GLOSSARY TERM
What is Denoising Diffusion Probabilistic Models?
Generative models that synthesize data by reversing a gradual noising process.
Diffusion models operate by iteratively adding Gaussian noise to data, then training a neural network to reverse this corruption. They are highly effective at generating high-fidelity images, audio, and complex structural data.
Next-Gen Generative AI
Harness state-of-the-art diffusion models optimized on the M1 stack.