Dr. Lance B. Eliot is a world-renowned AI scientist and consultant with over 8.1+ million amassed views of his AI columns and been featured on CBS 60 Minutes. As a CIO/CTO seasoned executive and high-tech entrepreneur, he combines practical industry experience with deep academic research.
In today’s column, I examine the advancement of large language models toward a new generation of large geospatial models , an exciting and innovative frontier for the advent and extension of AI.
“Large Geospatial Models will help computers perceive, comprehend, and navigate the physical world in a way that will seem equally advanced. Analogous to LLMs, geospatial models are built using vast amounts of raw data: billions of images of the world, all anchored to precise locations on the globe, are distilled into a large model that enables a location-based understanding of space, structures, and physical interactions.
Whether people realized they were contributing to this process is a story for a different day. You see, with conventional generative AI, most people don’t realize that the licensing agreements usually say that the AI maker can inspect your entered prompts, they can reuse what you do, and further train and enhance their generative AI and LLMs based on your efforts (see my discussion on the legality and ethics of this common practice, atThe emergence of LGMs is getting underway now.
Generative AI Large Language Models Llms Geospatial Reasoning LGM Large Geospatial Models Meta-Data Pattern-Match Openai Chatgpt GPT-4O O1 Anthropic Claude Google Gemini Meta Llama
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