Research Library
Library
Papers, patents & whitepapers, annotated
The Llama 3 Herd of Models
Meta AI · Meta (Technical Report) · 2024
A rare open look at how a frontier-scale model is actually built end to end. Read it when you want the engineering reality behind the benchmarks.
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Wei, Wang, Schuurmans et al. · NeurIPS · 2022
Why "let's think step by step" works. The practical root of every reasoning-heavy prompt and the reasoning-model wave that followed.
Language Models are Few-Shot Learners
Brown, Mann, Ryder et al. · arXiv · 2020
The GPT-3 paper — where "just give it a few examples in the prompt" became a real strategy. It reframed prompting as programming.
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Lewis, Perez, Piktus et al. · NeurIPS · 2020
The origin of "RAG". Explains why bolting a retriever onto a model beats fine-tuning for fast-changing knowledge — the pattern behind most production AI search today.
Attention-based sequence transduction neural networks
Google LLC · USPTO — US10452978B2 · 2019
The Transformer, as a granted patent. Useful for seeing how a landmark architecture is framed in IP terms — and a reminder that the research and the patent often diverge.
Attention Is All You Need
Vaswani, Shazeer, Parmar et al. · NeurIPS · 2017
The paper the entire modern LLM era is built on. If you read one source here, read this one — every model you use is a descendant of this architecture.
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