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diffusion models for audio · path·ai

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generative aiintermediate~6 weeks, part-time✦ generated

diffusion models for audio

Learn to build and train diffusion models that generate, enhance, and transform audio signals from first principles.

6 modules · 17 curated resources · checkpoint per module

mastery0/6 modules

pass each module's checkpoint to master it.

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Set Diffusion: Interpolating Token Orderings Between Autoregression and Diffusion for Fast and Flexible Decodingthis paper presents set diffusion, a method that combines autoregressive and diffusion models for faster and more flexible decoding of discrete tokens. ml engineers working with sequence generation can use this to improve the efficiency and control over their generative models.
A Physics-guided Fine-tuned LLM-based Framework for Customized Power Distribution System Feeder Generationthis research proposes a physics-guided llm framework to generate customized power distribution system feeders. this can help engineers design more efficient and reliable power grids by automating the generation of complex system configurations.
Unified Multimodal Autoregressive Modeling with Shared Context—Visual Tokenizer is Key to Unificationthis paper presents a unified multimodal autoregressive model that uses a shared context and visual tokenizer for unification. ai developers can use this approach to build more cohesive and capable multimodal models that can process and generate across different data types like text and images.