A Geodyssey – Geoscience Text Analytics and Enterprise Search Research
A voluntary non-commercial research blog since 2015
I tested if we might differentiate rock types and their associations based on the patterns of words that occur around them in large archives of geological reports. Using a text embeddings model generated through the unsupervised machine learning from thousands of geological survey reports, approximately 2,000 rock type names were compared to each other. The... Continue Reading →
Misconceptions of LLM Chatbots: For scientists and business professionals it is critical to know the source of any AI generated answer or assertion. If we cannot trace the sources accurately we are unlikely to trust the output. Imagine reading a literature review where no sources were cited.The technique used to provide as accurate as possible... Continue Reading →
Over 150 BSc, MSc and PhD geological questions released to help benchmark geological Gen AI. These were released by the team at GeologyOracle the free AI to answer geological questions, extract data from documents, code and interpret sketches and photographs.Hopefully more elements will be Open-sourced over the coming months such as the open-access training data... Continue Reading →
Using Large Language Models to estimate the intensity of earthquake shaking from multimodal social media posts.Interesting paper from Mousavi et al (2025) using Google’s Gemini 1.5 Pro LLM to estimate earthquake intensity from social media and CCTV. The authors state:“Our experiments demonstrate that Gemini can estimate ground shaking intensity based on the content of a... Continue Reading →
Google DeepMind report: A new golden age of discovery: Seizing the AI for Science opportunity. One in three postdocs now use large language models to help carry out literature reviews, coding, and editing.I recommend to anyone who wishes to understand more on how AI is and could impact science, or is developing AI policy, to... Continue Reading →
Presentation of uncertainty in geoscience Large Language Models (LLM) is likely to be an important part of ethical design. A factual dataset was open-sourced by Wei et al (2024) “SimpleQA” a few weeks ago containing over 4,300 generic factual questions and answers.One use of these data was to test the stated confidence of an LLM... Continue Reading →
GeologyOracle has been released today, free to use. "It is the first AI assistant specifically trained for geoscience. A typical GeologyOracle session resembles an instant messaging chat, i.e., the human user inputs information, which can be in the form of text, images, or audio, and the AI system simulates the conversation by generating a real-time... Continue Reading →
A Geological Aware Large Language Model to be released November 14th 2024: University researchers have experimented using open-access geoscience papers to guide OpenAI’s GPT-4, a system they call “GeologyOracle”.The authors, Baucon and Neto de Carvalho, are from the University of Genova and Lisbon respectively, the latter also from UNESCO Global Geoparks. As the paper was... Continue Reading →
Using Large Language Models (LLM) for automated geoscience image descriptions. There are some interesting techniques being applied to geoscience information using Frontier AI.When a large volume of images exists, having automated techniques may help us geologists sift through it all, gain insights or pointers to potentially interesting features or areas that may warrant further investigation.Its... Continue Reading →
A Geodyssey - Geoscience Text Analytics and Enterprise Search Research 