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Materialism: A Materials Science Podcast
Episode 75: Large Language Models in Materials Science
Oct 12, 2023
The podcast explores the potential impact of large language models in material science, discussing their applications in various fields and highlighting a paper on how LLMs can transform material science and chemistry. It delves into the benefits and challenges of using LLMs in coding, proposes tools for literature reviews and education, and shares experiences with LLMs in different domains. The hosts acknowledge sponsors and engage with listeners.
48:43
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Quick takeaways
- GPT-3 models can predict material properties based on smile strings, showing potential for low data discovery.
- Large language models can automate tasks and optimize interfaces, improving coding and data querying efficiency.
Deep dives
Predicting material properties using large language models and smile strings
A team at the hackathon used a GPT-3 model to predict material properties based on smile strings, showing promising results in low data discovery.
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Discover
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Listen to the best highlights from the podcasts you love and dive into the full episode