Latent diffusion model (LDM)

A latent diffusion model (LDM) is a type of generative machine learning model that performs diffusion processes in a compressed latent space, enabling efficient and high-quality image synthesis and related tasks. By operating in a lower-dimensional representation, LDMs reduce computational costs while maintaining detailed output.

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Neural voice cloning

Neural voice cloning is a technology that uses deep learning to replicate a person’s voice by generating synthetic speech that closely mimics the original speaker’s vocal characteristics. It enables the creation of personalized speech synthesis with relatively small amounts of audio data.

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Few-shot learning

Few-shot learning is a machine learning approach that enables models to learn new tasks using only a small number of training examples. It addresses the challenge of data scarcity in traditional supervised learning by leveraging prior knowledge or meta-learning techniques to generalize from limited data.

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