kstv364/genai-book
This is a personal learning repository for the book Hands-On Generative AI with Transformers and Diffusion Models. Here you'll find hands-on projects, solutions, and experiments with Generative AI, including Transformers, Diffusion Models, Retrieval-Augmented Generation, and more. 🚀
This collection of notebooks helps you learn and experiment with Generative AI models. You'll work through practical examples using text, images, and audio as input to produce new, generated content. This is ideal for AI practitioners, data scientists, or researchers who want to gain hands-on experience with cutting-edge generative technologies.
No commits in the last 6 months.
Use this if you are an AI practitioner looking for hands-on, guided projects to understand and apply Generative AI concepts like Transformers, Diffusion Models, and Retrieval-Augmented Generation.
Not ideal if you are looking for a plug-and-play solution for a specific business problem, as this repository is for learning and experimentation rather than direct deployment.
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Jupyter Notebook
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MIT
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Last pushed
Jul 27, 2025
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