Cymetica
Specialized AI
PAPER
Menu
Dark Mode
Plain English Mode
PAPER TRADING MODE — Enable real trading on your Account page
Back

Meaning as geometry

How words, then every kind of object, became vectors — and how vector space became the core of language models.

  1. July 1945 Vannevar Bush, "As We May Think"
  2. 1954 Zellig Harris, "Distributional Structure"
  3. 1957 J. R. Firth: "the company it keeps"
  4. 1957 Osgood: the semantic differential
  5. 1958 Luhn: term significance by formula
  6. 1972 Kohonen: correlation matrix memories
  7. 1972 Spärck Jones: inverse document frequency
  8. 1975 Salton, Wong and Yang: the vector space model
  9. 1982 Hopfield networks
  10. 1986 Swanson: undiscovered public knowledge
  11. 1986 Backpropagation
  12. 1990 Latent semantic analysis
  13. 1990 Elman: finding structure in time
  14. 1992 Brown clusters
  15. 1996 HAL: hyperspace analogue to language
  16. 1997 Landauer and Dumais: Plato's problem
  17. 1997 LSTM
  18. 1998 Gordon and Dumais: LSI for discovery
  19. April 2002 Inter-term relevance analysis (US 2003/0204496 A1)
  20. 2003 Bengio et al.: neural probabilistic language model
  21. 2003 Latent Dirichlet allocation
  22. 31 March 2005 Berkeley Lab: "A Search Engine that Thinks, Almost"
  23. 6 June 2005 Relationship network patent filed (US 7,987,191)
  24. 2006–2009 SeeqPod: the engine on objects
  25. 2008 Collobert and Weston: one network, many tasks
  26. 9 July 2008 R&D 100 award: the Biomimetic Search Engine
  27. 2010 Turian et al.: word representations
  28. 26 July 2011 US 7,987,191 granted
  29. January 2013 word2vec
  30. September 2014 Bahdanau et al.: attention
  31. October 2014 Neural Turing machines and memory networks
  32. 2014 GloVe
  33. 2016 item2vec and node2vec
  34. 2016 fastText
  35. June 2017 "Attention Is All You Need"
  36. February 2018 ELMo: contextual word vectors
  37. June 2018 GPT
  38. October 2018 BERT
  39. November 2018 Context-controlled correlation matrices
  40. February 2019 GPT-2
  41. July 2019 Tshitoyan et al.: latent knowledge in embeddings
  42. August 2019 Sentence-BERT
  43. November 2019 kNN-LM
  44. May 2020 Retrieval-augmented generation
  45. May 2020 GPT-3
  46. July 2020 "Hopfield Networks is All You Need"
  47. February 2021 CLIP
  48. August 2021 ALiBi
  49. December 2021 RETRO
  50. March 2022 Memorizing Transformers
  51. September 2022 Toy models of superposition
  52. November 2022 ChatGPT
  53. July 2023 RetNet
  54. November 2023 The linear representation hypothesis
  55. May 2024 Scaling monosemanticity