[MI 3] Seq2Seq Models: Basics behind LLMs
When you use Google Translate to turn a complex English sentence into Spanish, or when you ask Gemini to summarize a long email, the computer isn’t just looking at individual words. It’s following a path. It’s remembering where the sentence started…
Read More[MU 1] Advertising in the Age of AI
When you search for a product today, ads quietly shape what you notice. When you scroll Instagram, ads compete for slices of your attention. For decades, advertising has existed because humans have a simple limitation: we cannot evaluate everything. This…
Read More[PET 1] Privacy Enhancing Technologies – Introduction
Every time you browse a website, click an ad, make a purchase, or train an ML model, data flows through systems. Companies need this data — for analytics, measurement, personalization, and product improvement. But they also have legal, ethical, and…
Read More[PET 1.a] Privacy Enhancing Technologies (PETs) — Part 1
How Your Data Gets Protected Every time you browse a website, click an ad, or make a purchase, data flows through dozens of systems. Companies need this data for analytics, measurement, and personalization—but they also have legal and ethical obligations…
Read More[PET 1.c] Privacy Enhancing Technologies (PETs) — Part 3
Privacy-Preserving Computation and Measurement In Part 1, we covered how organizations protect data internally — minimization, anonymization, query controls, and differential privacy. In Part 2, we explored secure collaboration — clean rooms, identity…
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