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garrettallen14/README.md

Garrett Allen

I am an AI Engineer at LayerLens.ai, where I develop AI model evaluation frameworks. My research interests center on world models and autonomous systems, exploring how AI can build rich internal representations to understand and interact with its environment.

Previously, I graduated from the University of Southern California with a degree in Mathematics and competed as a Division I NCAA Men's Water Polo athlete. Through my work at LayerLens, I focus on advancing interpretability methods and building robust evaluation systems for large language models.


Research Interests:

  • Model Evaluation
  • World Models & Autonomous Systems
  • Machine Learning Interpretability

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  1. JEPA-Image-World-Model JEPA-Image-World-Model Public

    Implementation of a JEPA Image World Model, trained on OpenAI's VPT Minecraft contractor dataset.

    Python 5

  2. CoT-Reasoning-Without-Prompting CoT-Reasoning-Without-Prompting Public

    Exploring CoT-Decoding from Google DeepMind's paper, "Chain-of-Thought Reasoning Without Prompting".

    Jupyter Notebook 13

  3. PromptCanvas PromptCanvas Public

    A pixel art canvas for exploring how language models interpret abstract concepts through drawing.

    JavaScript

  4. paper-a-day paper-a-day Public

    A collection of notes on some interesting papers.

    Python