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diffusion models for audio · ogpath

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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 · 22 curated resources · checkpoint per module

mastery0/6 modules

pass each module's checkpoint to master it.

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MAP: evaluation and multi-agent enhancement of large language models for inpatient pathwaysevaluates and improves LLMs for complex inpatient decision-making by moving beyond question-answering to real clinical workflows. practitioners need this because it addresses the gap between medical benchmarks and the messy, multi-step reasoning required in actual hospital settings.
PopuLoRA: Co-Evolving LLM Populations for Reasoning Self-Playuses population-based self-play with LoRA adapters to improve reasoning in LLMs through reinforcement learning with verifiable rewards. practitioners benefit because it shows how to efficiently fine-tune models for complex reasoning tasks without full retraining.
TabPFN-3: Technical Reportscales foundation models for tabular data to handle 1M+ rows while reducing training and inference time significantly. this is critical for practitioners because most real-world prediction problems use tabular data, and this removes a major bottleneck in deploying models on large datasets.