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Brown et al — GPT-3 (2020) · Encyclopedia
Tom Brown et al 2020 paper introducing GPT-3 — 175B parameters, few-shot learning, the paper that made LLMs a public phenomenon.
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Peer topics
- He et al — Deep Residual Learning (ResNet) (2015)
- Brin & Page — The Anatomy of a Search Engine (1998)
- Goodfellow et al — Generative Adversarial Networks (2014)
- Krizhevsky et al — AlexNet (2012)
- Mikolov et al — Word2Vec (2013)
- Nakamoto — Bitcoin Whitepaper (2008)
- Turing — On Computable Numbers (1936)
- Cerf & Kahn — TCP/IP (1974)
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Brown et al — GPT-3 (2020) — Tom Brown et al 2020 paper introducing GPT-3 — 175B parameters, few-shot learning, the paper that made LLMs a public phenomenon..
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Brown et al — GPT-3 (2020) is classified as a tier-2 paper-cs within the knowledge graph. It intersects with multiple scopes and has dedicated desk feeds, making it a go-to reference for practitioners.
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Brown et al — GPT-3 (2020) connects out to: He et al — Deep Residual Learning (ResNet) (2015), Brin & Page — The Anatomy of a Search Engine (1998), Goodfellow et al — Generative Adversarial Networks (2014). Each of those topics carries its own cross-nav rail, OPML bundle, FAQ, and printable summary.
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