machine learning

MLJAR Studio is a private AI data analysis workspace that runs locally, helps users explore data in natural language, generates and runs Python, automates machine learning experiments, and turns notebooks into shareable web apps.

An interactive explainer that teaches core AI and LLM evaluation metrics through playful visuals, including loss, perplexity, precision, recall, F1, accuracy, ROUGE, BLEU, and BERTScore.

An educational article explaining world models, latent states, dynamics learning, and planning for agents, with examples from gridworld, Dreamer, and MuZero.

A public slide deck about vLLM-compile, a project focused on bringing compiler optimizations to LLM inference and speeding up torch.compile for vLLM workflows.