Large language models (LLMs) and foundation models are revolutionizing geospatial artificial intelligence (GeoAI) as they need little or no fine-tuning. Discover how models such as Segment Anything Model (SAM) and Prithvi are used to extract features from geospatial imagery. Learn how LLMs like generative pre-trained transformer (GPT) can be prompted to extract geospatial insights from unstructured data. Speakers also demonstrate advanced techniques like low-rank adaptation (LoRA) to fine-tune these models and integrate them with libraries like LangChain to build GeoAI agents and assistants.
ArcGIS and GeoAI: Using Large Language Models and Foundation Models
Session Type: Technical Session
Category: Application
Session Level: Intermediate
Topic: Imagery and Remote Sensing
Esri Products: ArcGIS API for Python, ArcGIS Pro
