Semantic IDs: How to train an LLM-Recommender Hybrid with steerability and reasoning on recommendations.

📰 Building News Agents to Summarize News with MCP, Q, and tmux

📋 A list of open LLMs available for commercial use.

Notes from the Latent Space paper club. Follow along or start your own!

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.

🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.

Experimenting with LLMs to Research, Reflect, and Plan (LLM assistants, retrieval, and Discord integration)

🤖 A prototype assistant for writing and thinking

Simple template showing how to set up docker for reproducible data science with Jupyter notebooks.

📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.

🌱 1-on-1 questions and resources from my time as a manager.

🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.

Sample repository demonstrating how to use FastAPI to serve HTML web apps.

Calling LLM APIs on a Raspberry Pi for lulz