Library
Research Papers
Peer-reviewed work that moved the field.
Academic papers from institutions and conferences that have meaningfully advanced software engineering, systems design, and machine learning. Each entry is curated for practical relevance to working engineers, not just researchers.
3 resources
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Microsoft Research paper demonstrating that 1-bit quantised LLMs match full-precision models at scale.
Ma et al.arXiv / Microsoft ResearchFeb 20241.8 MB
LLMsQuantisationAI InferenceEdge AI
The seminal 2017 Transformer paper that introduced the self-attention mechanism underpinning modern LLMs.
Vaswani et al.arXivJun 20172.2 MB
LLMsDeep LearningNLPTransformers
The 2007 paper describing the design of Amazon Dynamo, foundational reading for distributed systems engineers.
DeCandia et al.Amazon / SOSP 2007Oct 2007340 KB
Distributed SystemsDatabasesEventual Consistency
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