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AI & ML/ Writing/Tagged “variational-inference”

Tagged “variational-inference”

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All Model Architecture20 Training & Alignment22 Inference & Serving21 Agents & Orchestration11 Reasoning & Evaluation27 Safety, Security & Governance8 Platforms & Practice22
Model Architecture 24 min

From Normalising Flows to Flow Matching: How the Change-of-Variables Idea Survived Its Own Architecture

For five years, normalising flows bent every layer around one number: the log-determinant of a Jacobian. Flow matching kept the invertible transport map, stopped computing that number during training, and ended up inside Stable D…

variational-and-flow-models flow-matching diffusion-models generative-ai ∑ ◫
Training & Alignment 25 min

The Four Faces of KL Divergence: Mode-Seeking, Mode-Covering, and Why Your Estimator Went Negative

You add a KL penalty to an RLHF objective, log it, and it prints minus 0.03. KL divergence is provably non-negative, and nothing is broken. One formula does four different jobs in modern machine learning, and almost every confusi…

math information-theory kl-divergence rlhf ∑ ◫
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