MLOps.community The Variational Book // Yuri Plotkin // #253
Aug 13, 2024
Yuri Plotkin, a Biomedical Engineer and Machine Learning Scientist, dives into his journey from biology to AI, driven by curiosity. He discusses generative AI and diffusion models, tracing their evolution and potential across industries. Highlighting the intricate relationships between various machine learning models, he uses analogies and humor to illustrate concepts. Yuri emphasizes the need for a blend of theory and practice in machine learning engineering, while addressing the complexities of deploying AI in diverse sectors.
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Ketchup Curiosity
- Yuri Plotkin always loved biology and was fascinated by how things work.
- As a child, he'd ask his grandparents if ketchup killed germs, showcasing his early curiosity.
Variational Book's Origin
- The Variational Book explains generative AI algorithms, excluding LLMs, focusing on their logic and connections.
- It started as a personal learning project and evolved into a comprehensive resource.
Diffusion Models Bottleneck
- Diffusion models, despite high quality and similar processes to GANs and VAEs, initially had slow inference times.
- This bottleneck stemmed from needing many steps to generate one sample, unlike the faster, one-step GANs.