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title: Augmented Poetry | |
emoji: ⚡ | |
colorFrom: red | |
colorTo: gray | |
sdk: gradio | |
sdk_version: 3.4 | |
app_file: app.py | |
pinned: false | |
- 1. fine-tune a large language model (LLM) using the text corpus of a specific poet | |
- select a certain rhyme from the gutenberg corpus and fine-tune on this | |
- try fine-tuning on a few lines of a poem that Eva has started | |
run in a docker container and transfer to another machine | |
Is it better to have a sequence to sequence transformer trained on sucessive lines of the poetry corpus?? | |
https://github.com/huggingface/transformers/tree/main/examples/pytorch/language-modeling | |
merve/poetry only has 573 rows. | |
TODO: - upload the gutenberg poetry corpus up to huggingface - ask the lady who made it | |
## Research | |
<https://github.com/aparrish/gutenberg-dammit/> | |
implement language generation with a basic transformer | |
<https://github.com/aparrish/gutenberg-poetry-corpus> | |
Gutenberg Poetry Autocomplete, a search engine-like interface for writing poems mined from Project Gutenberg. (A poem written using this interface was recently published in the Indianapolis Review!) | |
https://ymeadows.com/en-articles/fine-tuning-transformer-based-language-models | |
https://thegradient.pub/prompting/ | |
https://towardsdatascience.com/fine-tuning-for-domain-adaptation-in-nlp-c47def356fd6 | |
https://ruder.io/recent-advances-lm-fine-tuning/ | |
https://streamlit.io/ |