Learning with AI
Open, searchable study guides and interactive books I build and maintain on modern AI — from ML foundations to evaluating agents and serving LLMs in production.
A growing collection of open study guides I maintain. Each one is a full, searchable book you can read online. Pick a track below.
Toxicogenomics & Single-Cell FMs
Machine learning for toxicogenomics and single-cell foundation models — learning biological response and cell-state representations from high-dimensional omics and single-cell data.
Open guide →Machine Learning & LLMs
Interview-grade deep dives on classical ML, transformers, attention, LLM inference, alignment/RLHF, scaling laws, and more — plus Anthropic certification prep.
Open guide →Agentic AI Evaluation
Frameworks, metrics, benchmarks, tool-use and safety evaluation, and production monitoring for evaluating agentic AI systems.
Open guide →LLM Inference & Serving
Serving, containerizing, scaling, deploying, and monitoring LLM inference in production: vLLM, Triton, Kubernetes, autoscaling, canaries, drift detection.
Open guide →