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clam004/README.md

My scientific passion and engineering focus is on artificial intelligence, improved methods for fine-tuning pretrained large language models, reinforcement learning from human feedback, model augmentation with up to date knowledge, methods for long term memory beyond longer token context windows and how to communicate these concepts in a way that is non-intimidating, empathetic, yet technically meaningful.

Tools

Python Python Go HF

Pinned

  1. minichatgpt minichatgpt Public

    annotated tutorial of the huggingface TRL repo for reinforcement learning from human feedback connecting equations from PPO and GAE to the lines of code in the pytorch implementation

    Jupyter Notebook 15 1

  2. chat-transformer chat-transformer Public

    A chatbot using the Vaswani transformer as it's sequence-to-sequence module

    Jupyter Notebook 19 2

  3. adaptive-computation-time adaptive-computation-time Public

    The notebook connects the formulas used in the paper to the code that implements those formulas by implementing a training pipeline on a small but meaningful dataset

    HTML 2

  4. unsupervised-speech-representation-learning unsupervised-speech-representation-learning Public

    This is a intuitive explanation of Representation Learning with Contrastive Predictive Coding using code provided by jefflai108 that uses CPC to learn representations of sound files for the purpose…

    Jupyter Notebook 10