Large language models (LLMs) and foundation models are bringing forth a new revolution in geospatial artificial intelligence (GeoAI) as they need little or no fine-tuning. Join us to discover how models such as Segment Anything Model (SAM) and Prithvi can be used to extract features from geospatial imagery. Learn how LLMs like Generative Pre-trained Transformer (GPT) and Llama can be prompted to extract geospatial insights from unstructured data. In addition, presenters discuss how Python developers are using 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
Speakers
Esri
Esri
Session Type: Technical Session
Session Level: Intermediate
Esri Products: ArcGIS API for Python, ArcGIS Pro
