Research papers, explained.

The papers behind modern AI, in plain words. Each one comes with an interactive model of how it works, and what it changes when a business puts it to work.

01The paper, in plain words

02How it works, as a visual model

03In business: where it fits, what to measure

Showing 1 papers

DENSE RETRIEVAL PROJECTIONk=3 · COSINE SIM

Query: q ∈ ℝ¹⁵³⁶DPR Dual-Encoder

Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela · 2020Retrieval & RAG

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Lewis et al. (2020) explained: how RAG pairs a DPR retriever with a BART generator, the paper’s own results tables, the index hot-swap test, its limits, and what it means for a business assistant.

In business: Company knowledge assistant

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