Tags

machine-learning

5 publications

  1. The chain rule behind autoregressive models

    Autoregressive models are just the probability chain rule plus a conditional model. Here’s the mental model, the math, and what training is really doing.

    5 min readSoftware engineering

  2. Security Implications of Probabilistic Reasoning in Generative AI

    A rigorous analysis of how probabilistic reasoning in generative models shapes security risk, failure modes, and robustness.

    6 min readSecurity

  3. Amazon Bedrock: foundations, systems, and scaling

    A highly technical article on Amazon Bedrock with mathematical foundations and numerical examples.

    4 min readArtificial intelligence

  4. Calculus, AI, and linear algebra: a compact field guide

    A quick, code-backed refresher on gradients, Jacobians, and the linear algebra that drives modern ML.

    3 min readSoftware engineering

  5. Why Traditional Threat Modeling Breaks Down in Generative AI Systems

    Probabilistic behavior, distributional risk, and system composability invalidate core assumptions of classical threat modeling for generative AI.

    5 min readSecurity