Experiments · code · learning

Experiments

I use these experiments to examine how AI models and systems actually behave. I start small, run something, look at the results, and try to understand the mechanisms and tradeoffs. Some exercises are tutorials; others are still work in progress.

The runnable code, requirements and notebooks live in ai-scientist-lab. Here I document the setup, results, failures and what I learned, with links back to the source so the experiments can be reproduced.

in progress · models & inference01 / Model servingLoading a small Qwen model, generation, sampling, embeddings, and a simple classifier. Read the working notes →
planned · agent systems02 / Co-scientist agentsResearch retrieval, coding/test-repair loops, durable state, and a biological analysis agent.
planned · scientific AI03 / AI for biologyPublic biological data, foundation models, experiments, and meaningful evaluation.