A curated collection of research papers, technical articles, and documentation that have shaped my understanding of modern software development, AI, and distributed systems. These papers represent foundational work in their respective fields.
Vaswani et al. (2017)
The seminal paper introducing the Transformer architecture that revolutionized NLP and led to models like GPT and BERT.
Devlin et al. (2018)
Introduction of BERT, a powerful language model that achieved state-of-the-art results on various NLP tasks.
Brown et al. (2020)
Demonstration of GPT-3's few-shot learning capabilities and its implications for AI development.
DeCandia et al. (2007)
A foundational paper on distributed systems that influenced many modern database designs.
Ghemawat et al. (2003)
Design and implementation of Google's scalable distributed file system.
Facebook (2013)
The original React paper introducing the component-based architecture for building user interfaces.
Vercel (2016)
Documentation and architecture of Next.js, focusing on server-side rendering and static generation.
I regularly read research papers to stay updated with the latest developments in technology. If you have any interesting papers to recommend, especially in the areas of AI, distributed systems, or web development, I'd love to hear about them!