Search Results for author: Michael Fore

Found 2 papers, 0 papers with code

GeckOpt: LLM System Efficiency via Intent-Based Tool Selection

no code implementations24 Apr 2024 Michael Fore, Simranjit Singh, Dimitrios Stamoulis

In this preliminary study, we investigate a GPT-driven intent-based reasoning approach to streamline tool selection for large language models (LLMs) aimed at system efficiency.

GeoLLM-Engine: A Realistic Environment for Building Geospatial Copilots

no code implementations23 Apr 2024 Simranjit Singh, Michael Fore, Dimitrios Stamoulis

Geospatial Copilots unlock unprecedented potential for performing Earth Observation (EO) applications through natural language instructions.

Earth Observation

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