Generative AI Math Foundations Course
kalyan_kpl · x · 2026-07-10
This is a **Generative AI Math Foundations Course** tailored for AI/ML engineers, taught by Professor Prathosh AP from IISc. The syllabus begins with probabilistic generative modeling and sequentially covers: - Variational Divergence Minimization - GAN / WGAN - VAE / VQVAE - DDPM, Conditional Diffusion, and Score-based Models - Autoregressive Models and LLM Foundations - Sampling, Inference, and Quantization for LLMs - Reinforcement Learning-based Alignment Methods, such as PPO and DPO The post includes a link to the course playlist, making it an excellent resource for systematically brushing up on the fundamentals.
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