The original ideas, straight from the source.
I keep a directory of free ways to learn at brianpfeil.com/learn, sorted by goal, and every link opens without signing in. This is one of its paths: 7 resources, with the ones I'd start with marked ⭐.
- Attention Is All You Need, by Vaswani et al., 2017 ⭐: The 2017 paper that introduced the transformer behind every modern AI model.
- Dynamo: Amazon's Highly Available Key-value Store, by DeCandia et al., 2007 ⭐: The 2007 paper that shaped a generation of distributed databases.
- Papers We Love: A community-curated library of computer science papers worth reading.
- The Morning Paper, by Adrian Colyer: Years of accessible write-ups of important CS papers, one each weekday.
- arXiv: Where new AI and computer science research appears first, free to read.
- martinfowler.com, by Martin Fowler: Decades of clear writing on software design, refactoring and architecture.
- High Scalability: Case studies of how real companies built systems at scale.
The up-to-date list, and the other paths (code, cloud, AI, kids and more), is at brianpfeil.com/learn/papers/.
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