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Explore a comprehensive workshop that demystifies large language models by implementing GPT-2 entirely in vanilla JavaScript, making modern AI accessible to web developers without machine learning backgrounds. Learn how major LLMs like ChatGPT, Claude, DeepSeek, and Llama inherit from GPT-2's architecture through hands-on debugging and step-by-step exploration of a complete inference implementation. Discover how LLMs convert raw text into meaningful tokens, represent semantic meaning through vector embeddings, train neural networks using gradient descent, and generate text with sampling algorithms including top-k, top-p, and temperature. Master the essential concepts needed for building LLM-powered projects while developing an intuitive mental model of Transformer architecture that applies directly to modern AI systems. Gain practical understanding of the fundamental principles underlying contemporary AI through this beginner-friendly yet intensive session designed specifically for web developers entering the ML and AI space for the first time.
