
State of the art advances in applied machine learning with a focus on recommender systems
| Platform | Pricing | Only free issues | Publishes | Weekly | |
|---|---|---|---|---|---|
| Issues | 50 | Founded | 5 years ago | Last Issue | a month ago |
| Active | |||||

Python 3.9+
A terminal and a virtual environment
No GPU required (CPU is fine for GPT-2)
Here’s a failure mode worth knowing before you spend time traini...
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.
This post bre...
Part I
Link to GitHub Repository
GPT-2 is a legendary model, effectively the “Hello World” of modern LLMs thanks to Andrej Karpathy’s nanoGPT. But in the fast-moving world of AI, 2019 might as well be ancient hist...
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...
Subscribers, engagement, traffic and sponsorship for RecsysML + LLMs.
| Subscribers | Engagement | 73 | Monthly Web Visits | ||
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| Accepts Sponsors | Estimated Cost per Ad | ||||
Where RecsysML + LLMs ranks on Google, and how much search traffic it brings in.
| Ranked Keywords | 137 | Monthly Search Traffic | Top Keywords |
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The writers behind this newsletter.
- Applied ML in Recommender systems (Facebook / Instagram, Google, Discord) - 20 years in Applied ML
An ML Researcher 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
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.
ML@Bluesky
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