- See Also
- Gwern
-
Links
- “Poetry Will Not Optimize, or What Is Literature to AI?”, Elam 2023
- “Ars Autopoetica: On Authorial Intelligence, Generative Literature, and the Future of Language”, Stiles 2023
- “Help Me Write a Poem: Instruction Tuning As a Vehicle for Collaborative Poetry Writing (CoPoet)”, Chakrabarty et al 2022
- “Most Language Models Can Be Poets Too: An AI Writing Assistant and Constrained Text Generation Studio”, Roush et al 2022
- “Well, I Have Just Tried With GPT-3”, throwlem 2022
- “Predictability and Surprise in Large Generative Models”, Ganguli et al 2022
- “Part 1: AI That Writes—GPT-3: a Big Step Forward”, Binks 2022
- “Apropos of Nothing”, Brundage 2021
- “Scaling Language Models: Methods, Analysis & Insights from Training Gopher”, Rae et al 2021
- “Imitations of Immortality: Learning from Human Imitative Examples in Transformer Poetry Generation”, LC 2021
- “A Wild Adventure With GPT-3: Featuring Indian Mythology and Neruda”, Salahuddin 2021
- “There Once Was a Really Bad Poet, It Was Automated but You Didn’t Know It”, Wang et al 2021
- “Collaborative Storytelling With Large-Scale Neural Language Models”, Nichols et al 2020
- “Can GPT-3 Pass a Writer’s Turing Test?”, Elkins & Chun 2020
- “Artificial Intelligence versus Maya Angelou: Experimental Evidence That People Cannot Differentiate AI-Generated from Human-Written Poetry”, Köbis & Mossink 2020
- “GPT-2 AI Poetry Generation: Writing like Donne”, Case 2020
- “GPT-3 Paper § Figure F.1: Four Uncurated Completions from a Context Suggesting the Model Compose a Poem in the Style of Wallace Stevens With the Title ‘Shadows on the Way’”, GPT-3 2020 (page 48)
- “Introducing Aspects of Creativity in Automatic Poetry Generation”, Bena & Kalita 2020
- “GPT-Based Generation for Classical Chinese Poetry”, Liao et al 2019
- “Three More GPT-2 Poems”, Goodwin 2019
- “The Poetry Machine”, Wijeratne 2019
- “FridAI: ‘Water, Water, Everywhere’, As Read by Artificial Intelligence”, Kosmopol 2019
- “GPT-2 Howl”, Miles 2019
- “Gpt-2-Poetry”, McDonald 2019
- “GPT-2 Neural Network Poetry”, Gwern & Presser 2019
- “First Line of Famous Poems Continued by GPT-2”, Krantz 2019
- “GPT-2 Writes a Shelley Poem”, Woods 2019
- “An Eternal Howl”, antinegationism 2019
- “Random_ai_poems.txt”
- Sort By Magic
- Miscellaneous
- Bibliography
See Also
Gwern
“GPT-3 Creative Fiction”, Gwern 2020
“Crowdsourcing The Best GPT-2-1.5b Poetry”, Gwern 2020
“GPT-2 Preference Learning for Music Generation”, Gwern 2019
Links
“Poetry Will Not Optimize, or What Is Literature to AI?”, Elam 2023
“Ars Autopoetica: On Authorial Intelligence, Generative Literature, and the Future of Language”, Stiles 2023
Ars Autopoetica: On Authorial Intelligence, Generative Literature, and the Future of Language:
“Help Me Write a Poem: Instruction Tuning As a Vehicle for Collaborative Poetry Writing (CoPoet)”, Chakrabarty et al 2022
Help me write a poem: Instruction Tuning as a Vehicle for Collaborative Poetry Writing (CoPoet)
“Most Language Models Can Be Poets Too: An AI Writing Assistant and Constrained Text Generation Studio”, Roush et al 2022
“Well, I Have Just Tried With GPT-3”, throwlem 2022
“Predictability and Surprise in Large Generative Models”, Ganguli et al 2022
“Part 1: AI That Writes—GPT-3: a Big Step Forward”, Binks 2022
“Apropos of Nothing”, Brundage 2021
“Scaling Language Models: Methods, Analysis & Insights from Training Gopher”, Rae et al 2021
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
“Imitations of Immortality: Learning from Human Imitative Examples in Transformer Poetry Generation”, LC 2021
Imitations of Immortality: Learning from Human Imitative Examples in Transformer Poetry Generation
“A Wild Adventure With GPT-3: Featuring Indian Mythology and Neruda”, Salahuddin 2021
A Wild Adventure With GPT-3: Featuring Indian Mythology and Neruda
“There Once Was a Really Bad Poet, It Was Automated but You Didn’t Know It”, Wang et al 2021
There Once Was a Really Bad Poet, It Was Automated but You Didn’t Know It
“Collaborative Storytelling With Large-Scale Neural Language Models”, Nichols et al 2020
Collaborative Storytelling with Large-scale Neural Language Models
“Can GPT-3 Pass a Writer’s Turing Test?”, Elkins & Chun 2020
“Artificial Intelligence versus Maya Angelou: Experimental Evidence That People Cannot Differentiate AI-Generated from Human-Written Poetry”, Köbis & Mossink 2020
“GPT-2 AI Poetry Generation: Writing like Donne”, Case 2020
GPT-2 AI Poetry Generation: Writing like Donne:
View PDF:
“GPT-3 Paper § Figure F.1: Four Uncurated Completions from a Context Suggesting the Model Compose a Poem in the Style of Wallace Stevens With the Title ‘Shadows on the Way’”, GPT-3 2020 (page 48)
“Introducing Aspects of Creativity in Automatic Poetry Generation”, Bena & Kalita 2020
Introducing Aspects of Creativity in Automatic Poetry Generation
“GPT-Based Generation for Classical Chinese Poetry”, Liao et al 2019
“Three More GPT-2 Poems”, Goodwin 2019
“The Poetry Machine”, Wijeratne 2019
“FridAI: ‘Water, Water, Everywhere’, As Read by Artificial Intelligence”, Kosmopol 2019
FridAI: ‘Water, water, everywhere’, as read by Artificial Intelligence
“GPT-2 Howl”, Miles 2019
“Gpt-2-Poetry”, McDonald 2019
“GPT-2 Neural Network Poetry”, Gwern & Presser 2019
“First Line of Famous Poems Continued by GPT-2”, Krantz 2019
“GPT-2 Writes a Shelley Poem”, Woods 2019
“An Eternal Howl”, antinegationism 2019
“Random_ai_poems.txt”
Sort By Magic
Annotations sorted by machine learning into inferred 'tags'. This provides an alternative way to browse: instead of by date order, one can browse in topic order. The 'sorted' list has been automatically clustered into multiple sections & auto-labeled for easier browsing.
Beginning with the newest annotation, it uses the embedding of each annotation to attempt to create a list of nearest-neighbor annotations, creating a progression of topics. For more details, see the link.
generative-insight
poetry-generation
creative-writing
Miscellaneous
Bibliography
-
https://arxiv.org/abs/2210.13669: “Help Me Write a Poem: Instruction Tuning As a Vehicle for Collaborative Poetry Writing (CoPoet)”, -
https://aclanthology.org/2022.cai-1.2.pdf: “Most Language Models Can Be Poets Too: An AI Writing Assistant and Constrained Text Generation Studio”, -
https://arxiv.org/abs/2202.07785#anthropic: “Predictability and Surprise in Large Generative Models”, -
https://www.clearerthinking.org/post/what-ai-can-do-what-it-can-t-do-and-what-s-coming#viewer-85rmk: “Part 1: AI That Writes—GPT-3: a Big Step Forward”, -
https://arxiv.org/abs/2112.11446#deepmind: “Scaling Language Models: Methods, Analysis & Insights from Training Gopher”, -
gpt-2: “GPT-2 Neural Network Poetry”,