From Exploring to Building Machine Learning Models
Exploration of current techniques in modern machine learning and deep learning: large language models (LLMs), Stable Diffusion, scaling laws, and transformers; alternative architectures to transformers; practical applications in computer vision, time series analysis, and generative AI. Hands-on implementation using Python and Pytorch. This course is not eligible for Credit/D/Fail grading.
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