Extracting accurate materials data from research papers with conversational language models and prompt engineering

Developments The authors reveal a quality manner of extracting structured data using a language model with a series of engineered prompts that identify data and validate its correction with follow-up questions.

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![image](https://github.com/ianderrington/genai/assets/76016868/87fb9420-f9ae-45d6-b1d9-327d357cfbab)
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