• Understanding Kolmogorov-Arnold Networks: A Tutorial Series on KAN using Toy Examples
    [Details] May 27, 2024
    Exploring LLM Transmission Chains: A Tutorial Series on Human-like Content Biases in LLMs

    [Details] April 30, 2024
    Exploring Simulacra: A Tutorial Series on Simulacra’s Generative Agents
    [Details] March 31, 2024
    Prior-Fitted Networks
    [Details] Feb 5, 2024
    Data Generating Priors for Prior-Fitted Networks
    [Details] Feb 5, 2024
    LLMTime - Zero-shot prompting LLMs for time series forecasting
    [Details] Nov 12, 2023
    Critical Exploration of Transformer Models
    [Details] Nov 7, 2023
    Molecule Attention Transformer
    [Details] Apr 21, 2023
    Accessing Research Data for Social Science [Oxford Internet Institute, MT 2022]
    [Details] September, 2022
    Attention is all you need
    [Details] Aug 5, 2021


  • Attention, Transformers, LLMs
    [Topics] [Practical]
    Advanced Convolutional Neural Network Architectures (2012 - 2018)
    [Topics] [Practical]
    Network Pruning
    [Topics] [Practical]
    Deep Autoencoders and Variational Autoencoders
    [Topics] [Practical]
    Noise Reduction in Machine Learning
    [Topics] [Practical]


    Prediction of COVID Infection using reported symptoms
    [Details] Aug 8, 2021