Explores the capabilities of Large Language Models through various experiments using ChatGPT and French IGN APIs.
This repository contains a collection of experiments focused on leveraging Large Language Models (LLMs), specifically ChatGPT, for various tasks. The experiments include web searches, integration with IGN (French National Geographic Institute) APIs, code generation, and exploration of geocoding limitations. It also features tests with the Cursor code editor and experiments with MCP server implementation using the Géoplateforme service. The code is primarily generated by ChatGPT and serves as a demonstration of its potential in assisting developers.
Key Features
01ChatGPT integration with IGN APIs
02MCP server implementation examples
03Exploration of geocoding capabilities
04Tests with the Cursor code editor
05Code generation using ChatGPT
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Use Cases
01Exploring the potential of LLMs for spatial data handling
02Generating client code for APIs using LLMs
03Evaluating the limitations of LLMs in specific tasks like geocoding
