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An implementation of the GPT(generative pretrained transformer) model, from scratch, which produces Shakespearean text by training on the dialogues written by Shakespeare along with the GPT Encoder.

Jupyter Notebook 63.52% Python 36.48%
attention-mechanism byte-pair-encoding encodings generative-model gpt implementation language-model natural-language-processing transformers-models

gpt-decoded's Introduction

Hi there, My name is Vansh Gupta ๐Ÿ‘‹

๐Ÿ’ซ About Me:

๐Ÿ”ญ Iโ€™m currently working on Fuzzy Logic Systems and their ability to enhance embedding representation.
๐ŸŒฑ Iโ€™m currently learning DSA, C++, Competitive Programming, Machine Learning
๐Ÿ‘ฏ Iโ€™m looking to collaborate on interesting research projects. I am interested in working on LLMs, Generative Models, and Quantum Machine Learning.
๐Ÿ“ซ How to reach me [email protected] , [email protected]

๐ŸŒ Socials:

InstagramLinkedIn X

๐Ÿ’ป Tech Stack:

C++ Python GithubPages Anaconda Keras Matplotlib NumPy Pandas PyTorch scikit-learn Scipy TensorFlow

๐Ÿ“Š GitHub Stats:




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