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Dive into a comprehensive 1 hour 25 minute video lecture exploring the foundations of ChatGPT, machine learning, and neural networks. Begin with an introduction to the history and training of AI models, then progress through key concepts like prediction, complex curve combinations, weights and biases, activation functions, and back propagation. Examine the evolution of GPT models, including GPT-2 and GPT-3, and understand crucial elements such as attention mechanisms and tokenization. Conclude with an in-depth look at ChatGPT itself and final thoughts on its implications. Access additional resources, including a whiteboard visualization, research papers, and links to further learning materials on Azure, DevOps, and PowerShell.
Understanding ChatGPT: From Machine Learning to Language Models