This project was originally the output of my participation at the 3rd SMD and ETD Workshop on A.I. and Data Science: Leaping Toward Our Future Goals organized at the NASA Goddard Space Flight Center. The script was originally developed for the OpenAI's ChatGPT. Then the MakerSuite and Palm API was integrated as a part of the result of a MakerSuite sprint for the Google Developer Expert (GDE).

Having worked multiple years on developing and translating scientific product into user facing tools (some tools I worked on are here: https://servir.adpc.net/tools), it takes a lot of time and effort in developing these UI tools. You are limited by how complex of the UI tools you can develop. The idea behind developing this tool is to provide a bridge between the powerful capabilities of Large Language Models (LLM) and the ClimateServ API (or basically any API), so data scientist and developers can focus their energy in developing complex API that user can use with a free-flow text. ClimateSERV (https://climateserv.servirglobal.net/) is a service developed at the NASA-SERVIR that allows easy visualization and download of rainfall and temperature forecasts, as well as historic rainfall and vegetation conditions. This LLM tool is a proof of concept at this point and is in a very preliminary stage, but if you have time, resources and common interest, please reach out to me and we can work on this.

#llm #geoml #machinelearning #deeplearning #datascience #largelanguagemodels #ui #uidesign #ux #uxdesign