Generalizing AI Models
Anima discusses the challenges of creating foundation models for science and engineering, emphasizing the need for data curation and the integration of physics constraints. She highlights the architectural differences in applying AI to weather prediction versus carbon capture, noting the importance of domain-specific knowledge while also recognizing the potential for broader models that can be fine-tuned for specific applications.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
How LLMs and Generative AI are Revolutionizing AI for Science with Anima Anandkumar - 614
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