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Explore the mathematical foundations and inner workings of GPT algorithms in this comprehensive 41-minute conference talk from GOTO Copenhagen 2024. Dive deep into the architecture of generative pre-trained transformers and discover how ChatGPT actually functions under the hood. Begin with fundamental natural language processing concepts including word embedding, vectorization, and tokenization, then witness practical demonstrations of training a GPT2 model to generate song lyrics while examining how word sequences are predicted. Learn about larger language models like ChatGPT and GPT-4, understanding their capabilities, limitations, and the role of hyperparameters such as temperature and frequency penalty in output generation. Master key concepts including model API architecture, sequence prediction, variable length processing, long-term dependencies, prompt engineering, and Retrieval Augmented Generation (RAG). Examine practical aspects of text processing, language tokenization, word/token vectorization and embedding, similarity measures (Euclidean vs Cosine), transformer architecture, and attention mechanisms. Gain insights into how English is becoming the new programming language and understand the challenges posed by heteronyms in natural language processing. Perfect for developers, AI practitioners, and anyone seeking to understand the mathematical principles behind modern language models and how to leverage GPT algorithms in their own applications.
