Inside GPT - Large Language Models Demystified
Demystifying GPT algorithms: architecture, inner workings, and practical applications. Explore NLP fundamentals, train models, and learn to leverage ChatGPT and GPT4 for innovative solutions.
Analyzing GPT-2's Brain Development
Explore GPT-2's inner workings through token manipulation, node analysis, and temperature adjustments to gain insights into its structure and functioning.
When Machine Learning Isn't Private
Exploring privacy risks in machine learning models, focusing on data leakage and extraction techniques. Discusses challenges in prevention and potential solutions for researchers and practitioners.
Understanding Text Generation Through Diffusion Models - From Theory to Implementation
Dive into discrete diffusion modeling for text generation, exploring probability distributions, score-based modeling, and practical applications in generative AI that rival GPT-2's capabilities.
Inside GPT - Large Language Models Demystified
Demystifying GPT algorithms: from fundamentals to advanced applications. Explore NLP concepts, model training, ChatGPT capabilities, and practical implementation strategies for leveraging AI in your solutions.
How to Re-Code LLMs Layer by Layer with Tensor Network Substitutions
Explore strategies for recoding Large Language Models using tensor network substitutions to enhance explainability, compression, and performance on smaller devices.