Nov 12, 2023
Three ML Blogs Worth Reading
A short recommendation list of high-quality machine learning blogs by Lilian Weng, Eugene Yan, and Chip Huyen.
Do you enjoy reading ML blogs? I certainly do, but finding high-quality ones that bring something new can be a challenge.
Here are my three personal favorites:
Lilian Weng's Blog
Lilian Weng is a leader in AI Safety at OpenAI. In her blog, she documents her learning notes, recently with a lot of posts about generative AI, e.g. diffusion models and LLMs.
Lilian's clear and detailed approach makes complex topics accessible and engaging.
Recommended post: LLM Powered Autonomous Agents
Eugene Yan's Blog
Eugene Yan brings his experience as a Senior Applied Scientist at Amazon into his writing, offering practical and in-depth insights into LLMs and machine learning systems.
Recommended post: How to Match LLM Patterns to Problems
Chip Huyen's Blog
Chip Huyen's blog is a highly valuable and technical resource written by a co-founder of Claypot AI, a platform for real-time machine learning. Her focus is on deep learning and recently generative AI.
Recommended post: Open challenges in LLM research
These blogs have great quality and depth, and you can see the passion behind each post.
What about you? Do you have any favorite ML blogs? I'd love to hear your recommendations.
Original post: LinkedIn