Episode 26: Developing and Training LLMs From Scratch
Vanishing Gradients
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Implementing Deep Learning Models from Scratch
The chapter discusses the importance of understanding key concepts like backpropagation, linear algebra, and implementing deep learning models from scratch using tools like PyTorch. It highlights the significance of grasping underlying mechanisms while leveraging tools like PyTorch Lightning, Scikit-learn, and Keras for deep learning work. The conversation also covers challenges with large language models, options for training on platforms like Google Colab or Lightning AI, and insights on creating open-source projects like Lit GPT.
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