MLWhiz | AI Unwrapped
Rahul AgarwalMaking ML careers accessible and GenAI and MLOps understandable. \ud83d\udd27 No-fluff guides and real-world insights to help you build, deploy, and advance in machine learning and Generative AI ecosystem
| Platform |  | Pricing | Freemium | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 151 | Subscribers | Read | mlwhiz.com |
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Latest Issues
Recent posts by this newsletter. Browse the email archive.
Vector Search at Scale: The Production Engineer's Guide
IVF partitions space. PQ compresses memory. Together they make 100M vector search actually possible
How YouTube Finds Your Next Video in Milliseconds
A deep dive into two-tower retrieval, in-batch negatives, and the tricks that make it work
The 3-Stage Funnel Behind Every Modern Recommender System
Two-Tower models, vector databases, cross-encoders—and how they work together at scale
How Recommendation Systems Learned to Think
Recsys Series Part 2: From collaborative filtering breakthroughs to generative AI agents that can chat about your preferences and explain their reasoning
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Authors
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Staff ML Engineer crafting AI solutions @Meta | Breaking down complex AI concepts @MLWhiz
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