‘GPT poetry’ directory
See Also
- Gwern
-
Links
- “Thought Bubble: I Am Pleased to Report That AI Is Now a Better Poet Than William McGonagall ”, Hugh-Jones 2025
- “Analyzing Poems With LLMs ”, Toper 2024
- “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
- “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)
- “Artificial Intelligence versus Maya Angelou: Experimental Evidence That People Cannot Differentiate AI-Generated from Human-Written Poetry ”, Köbis & Mossink 2020
- “Introducing Aspects of Creativity in Automatic Poetry Generation ”, Bena & Kalita 2020
- “2019-10-18-Poetryfoundation-Formatted.txt ”
- “GPT-Based Generation for Classical Chinese Poetry ”, Liao et al 2019
- “OpenAI’s New Language AI Is Available to Try Yourself ”
- “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
- “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
Gwern
“Towards Benchmarking LLM Diversity & Creativity ”, Gwern 2024
“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
“GPT-2 Neural Network Poetry ”, Gwern & Presser 2019
Links
“Thought Bubble: I Am Pleased to Report That AI Is Now a Better Poet Than William McGonagall ”, Hugh-Jones 2025
Thought bubble: I am pleased to report that AI is now a better poet than William McGonagall
“Analyzing Poems With LLMs ”, Toper 2024
“Poetry Will Not Optimize, or What Is Literature to AI? ”, Elam 2023
Poetry Will Not Optimize, or What Is Literature to AI?
“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
“GPT-2 AI Poetry Generation: Writing like Donne ”, Case 2020
GPT-2 AI Poetry Generation: Writing like Donne
“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)
“Artificial Intelligence versus Maya Angelou: Experimental Evidence That People Cannot Differentiate AI-Generated from Human-Written Poetry ”, Köbis & Mossink 2020
“Introducing Aspects of Creativity in Automatic Poetry Generation ”, Bena & Kalita 2020
Introducing Aspects of Creativity in Automatic Poetry Generation
“2019-10-18-Poetryfoundation-Formatted.txt ”
2019-10-18-poetryfoundation-formatted.txt
“GPT-Based Generation for Classical Chinese Poetry ”, Liao et al 2019
“OpenAI’s New Language AI Is Available to Try Yourself ”
“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
“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.
Miscellaneous
/doc/
ai/ nn/ transformer/ gpt/ 2/ 2019-10-19-gwern-gpt2-poetry-pgclean-117m.tar.xz /doc/
ai/ nn/ transformer/ gpt/ 2/ 2019-07-21-gwern-gpt2-345m-taotehching-all.tar.xz /doc/
ai/ nn/ transformer/ gpt/ poetry/ 2019-05-13-gpt2-poetry-345m-5000samples.txt : /doc/
ai/ nn/ transformer/ gpt/ 2/ 2019-05-13-gwern-gpt2-poetry-345m.tar.xz /doc/
ai/ nn/ transformer/ gpt/ poetry/ 2019-03-06-gpt2-poetry-1000samples.txt : /doc/
ai/ nn/ transformer/ gpt/ 2/ 2019-03-06-gwern-gpt2-poetry-projectgutenberg-network-519407.tar.xz https://
hdsr.mitpress.mit.edu/ pub/ lpq8o3bl/ release/ 1 : https://
www.lesswrong.com/ posts/ jkY6QdCfAXHJk3kea/ the-petertodd-phenomenon https://
www.reddit.com/ r/ GPT3/ comments/ vv3dd8/ i_asked_it_to_write_a_shakespearean_poem_about/ : https://
www.reddit.com/ r/ GPT3/ comments/ vxl21b/ a_gangsta_rap_about_pencils/ :
Bibliography
https://
: “Help Me Write a Poem: Instruction Tuning As a Vehicle for Collaborative Poetry Writing (CoPoet) ”,arxiv.org/ abs/ 2210.13669 https://
: “Most Language Models Can Be Poets Too: An AI Writing Assistant and Constrained Text Generation Studio ”,aclanthology.org/ 2022.cai-1.2.pdf https://
: “Predictability and Surprise in Large Generative Models ”,arxiv.org/ abs/ 2202.07785#anthropic https://
: “Part 1: AI That Writes—GPT-3: a Big Step Forward ”,www.clearerthinking.org/ post/ what-ai-can-do-what-it-can-t-do-and-what-s-coming#viewer-85rmk https://
: “Scaling Language Models: Methods, Analysis & Insights from Training Gopher ”,arxiv.org/ abs/ 2112.11446#deepmind