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Eye On A.I.

#148 Ahmed Imtiaz: Exploring AI Generative Models, Model Autophagy Disorder & Open-Source Challenges

Oct 26, 2023
01:00:00
Snipd AI
In this episode, Ahmed Imtiaz, a PhD student specializing in AI generative models, discusses synthetic data and model autophagy disorder. He also talks about his Bengali AI initiative and strategies for managing synthetic data. They explore the effects of synthesized and AI-generated data on large models and the challenges of obtaining data for AI models. The podcast also tackles the debate on the dangers and benefits of open-source AI models. Finally, they discuss the next generation of cloud infrastructure, Oracle Cloud Infrastructure (OCI), and its advantages for AI.
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Podcast summary created with Snipd AI

Quick takeaways

  • Self-consuming generative AI models can experience loss of diversity and produce artifacts when they consume their own generated data.
  • Having a ratio of fresh real data is crucial to mitigate the effects of synthetic data in generative models.

Deep dives

Self-consuming generative AI models

Self-consuming generative AI models, also known as MAD (model autophagy disorder), experience loss of diversity and produce artifacts when they consume their own generated data.

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