Machine Learning Frontiers
Samuel FlenderReal-life lessons on ML theory, practice, and careers from a seasoned ML engineer. This is the stuff you won't learn in "standard" ML curricula.
| Platform |  | Pricing | Freemium |
|---|---|---|---|
| Publishes | Weekly | Issues | 39 |
| Subscribers | Read | mlfrontiers.substack.com |
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Latest Issues
Recent posts by this newsletter. Browse the email archive.
Understanding DeepSeek-V3
DeepSeek has, without a doubt, shaken up the AI world. DeepSeek-V3 — a large MoE model with 671B total parameters and 37B activated parameters trained on 14.8T tokens — is the strongest open-source LLM in the industry today, achieving perfo...
Hierarchical Mixtures of Experts: The Next Generation of Multi-Task Learners
Modern recommender systems typically learn to predict multiple user engagements with a single model and then combine all of these predictions into a final rank (for example using a weighted sum).
FlashAttention: Making Attention 7x Faster Without Sacrificing Accuracy
(In this article I assume you’re already familiar with the basics of LLMs and ML code compilation. If not, I highly recommend reading A Friendly Introduction to Large Language Models and Understanding ML Compilers: The Journey From Your Cod...
Machine Learning Frontiers in 2024
It’s this time of the year again — let’s rewind and see what we learned this year.
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Authors
The writers behind this newsletter.
Physics PhD turned ML Engineer
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