pittisl/Generative-AI-Tutorial
A subjective learning guide for generative AI research
This is a curated learning guide for anyone interested in understanding and working with Generative AI, especially Large Language Models (LLMs) and Diffusion Models. It provides a structured path through foundational concepts like neural networks and the Transformer architecture, offering a collection of key research papers and tutorials. Users come away with a solid grasp of how generative AI works and where to find authoritative resources.
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Use this if you are a researcher, student, or practitioner looking to quickly gain basic to advanced knowledge in Generative AI, or if you need to recall concepts and discover new ideas in the field.
Not ideal if you are looking for an interactive course with coding exercises, a comparison of specific AI tools, or a quick, non-technical overview of Generative AI's business applications.
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Aug 09, 2024
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