Welcome! I am a Professor of the Practice in AI/ML at MIT Sloan. These articles are my ongoing effort to demystify AI and make it practical. I hope you find them useful (feedback is welcome: either email me at or send me anonymous feedback via this link). If you'd like to know when I publish new articles, please follow me on LinkedIn.

Browse by Topic:  AI Demystified | Practical AI | Practical ML/Data Science | Practical Python | Random


Recent


If you are using LLMs for "serious" applications, you must check-and-fix hallucinations (May 2025)
Don't fall into the "fast food reading" trap (April 2025)
If we can understand exactly what an AI model "knows" and how it "thinks", we can make it safer AND more reliable (April 2025)
Is learning from experience data (rather than human-generated data) the key to superhuman AI? (April 2025)
Solving RAG's "lost context" problem (April 2025)
If you like math/science biographies, you will LOVE this biography of David Hilbert (April 2025)