As part of the LLM for Applications in Materials and Chemistry Hackathon, Kevin Jablonka from EPFL describes the implications of large language models and new software for materials and chemistry discovery.

Topics include:
- Background ML in materials with tabular data
- LLMs as a general model creation platform for materials science
- Software to simplify application of LLMs to materials and chemistry
- ChemChain (using LangChain) to combine chemistry-related tools with almost no code

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