
State of the art advances in applied machine learning with a focus on recommender systems
| Platform | Pricing | Only free issues | Publishes | Weekly | |
|---|---|---|---|---|---|
| Issues | 49 | Subscribers | Read | recsysml.substack.com |
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At Bluesky, we are building an open foundation for the social internet, where anyone can create a feed, such as the Science feed, For You feed by spacecowboy, or GLAMS feed. We also aim to provide a great default Discover feed. This post di...
Creating a state-of-the-art Large Language Model (LLM) is not a single act of training. It is a multi-stage evolution that transforms a raw neural network from a statistical pattern-matcher into a refined, reliable assistant.
Over time, we have developed a framework for approaching ML Design interviews. Using this framework has had a high success rate. (11+ successful offers at E9 to E6 at Meta/Google/etc, 1 failure). Having a framework allows you to (a) ensure ...
The writers behind this newsletter.
- Applied ML in Recommender systems (Facebook / Instagram, Google, Discord) - 20 years in Applied ML
Rahul has over a decade of experience in artificial intelligence and machine learning. He has a PhD in computational neuroscience and is currently working ML engineer at Meta.
An AI/ML engineer obsessed with how intelligent systems actually work. I write about machine learning, intelligence, and decision-making from first principles, favoring intuition over formulas, clarity over hype, and understanding over consensus.
I geek on RecSys
ML@Bluesky
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