kabachuha/nanoGPKANT
Testing KAN-based text generation GPT models
This project offers a testing ground for those curious about experimental text generation models, specifically those combining Generative Pretrained Transformers (GPTs) with Kolmogorov-Arnold Networks (KANs). You can feed it text, like Shakespearean plays, and it will generate new text in a similar style. This is for researchers and developers exploring novel architectures for large language models.
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Use this if you are an AI researcher or developer actively experimenting with and comparing the performance of new neural network architectures, particularly KAN-based transformers, for text generation.
Not ideal if you need a production-ready text generation model or are looking for a tool to generate high-quality, coherent text quickly, as this is an early-stage research prototype.
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Jupyter Notebook
License
MIT
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Last pushed
May 06, 2024
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