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On weekends, I relish engaging in intellectual conversations with my sister, Pratikshya Regmi, who is pursuing a PhD in Geospatial Data, about various AI topics. Our recent discussions have centered on the potential of creating large map models capable of ingesting and generating map data, akin to the text processing of large language models (LLMs). We have coined this idea "Large Map Model," and casually, we find calling these map models "LMMs" quite cool. These models belong to a specialized subset of generative models for spatial data. Our goal is to explore a range of research papers within this field. This group is for those with a keen interest in this area. Should you encounter any fascinating papers, feel free to share them here.
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Large Map Models (Lmm): Generative Models Using Spatial Data Questions
Large Map Models (LMM): Generative models using spatial data's LinkedIn profile is https://www.linkedin.com/company/large-map-models
Large Map Models (LMM): Generative models using spatial data's industry is
IT Services and IT Consulting
Large Map Models (LMM): Generative models using spatial data's top competitors are
Jobrxiv,
Citepa,
Gemeente Enschede,
Simoshi Limited,
Institute For Transportation Research And Education,
Swiss Territorial Data Lab (Stdl),
Myrsky Energia,
Gorkha Brewery Pvt Ltd,
Conrad Blucher Institute For Surveying And Science,
Youth Innovation Lab.
Large Map Models (LMM): Generative models using spatial data's categories are IT Services and IT Consulting
Large Map Models (LMM): Generative models using spatial data's founding year is 2023
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