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Experimenting with Large Language Models and vector embeddings in NASA SciX
Open-source Large Language Models enable projects such as NASA SciX (i. e., NASA ADS) to think out of the box and try alternative approaches for information retrieval and data augmentation, while respecting data copyright and users' privacy.
AstroLLaMA: Towards Specialized Foundation Models in Astronomy
Large language models excel in many human-language tasks but often falter in highly specialized domains like scholarly astronomy.
Harnessing the Power of Adversarial Prompting and Large Language Models for Robust Hypothesis Generation in Astronomy
This study investigates the application of Large Language Models (LLMs), specifically GPT-4, within Astronomy.
Galactic ChitChat: Using Large Language Models to Converse with Astronomy Literature
We demonstrate the potential of the state-of-the-art OpenAI GPT-4 large language model to engage in meaningful interactions with Astronomy papers using in-context prompting.
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