iVishalr/GPT
A minimal and efficient Pytorch implementation of OpenAI's GPT (Generative Pretrained Transformer).
This project provides a foundational implementation of a Generative Pretrained Transformer (GPT) model, similar to the technology behind advanced language AI. It takes text inputs and, after training, can generate new, coherent text outputs, complete sentences, or even longer passages. This is ideal for machine learning engineers, AI researchers, or data scientists looking to understand and build their own custom text generation models.
No commits in the last 6 months.
Use this if you are a machine learning engineer or researcher who wants to build, train, and experiment with your own text generation model from the ground up, with a clear and understandable codebase.
Not ideal if you are looking for a ready-to-use, pre-trained model for immediate text generation or if you are not comfortable with PyTorch and deep learning model development.
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18
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7
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 12, 2022
Commits (30d)
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