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SensoGPT: A Remote Sensing Large Language Model is an open source AI hardware project from Hackster.io, indexed by ZouIC. SensoGPT is an innovative solution that integrates LLM with AI-based remote sensing models to automate complex interpretation tasks.

Source
Hackster.io
Focus
AI hardware
Author
Huy Mai
Published
2024-07-29

Common questions

What does SensoGPT: A Remote Sensing Large Language Model do?

SensoGPT is an innovative solution that integrates LLM with AI-based remote sensing models to automate complex interpretation tasks.

Where does SensoGPT: A Remote Sensing Large Language Model come from?

ZouIC indexes it from Hackster.io, original page at https://www.hackster.io/lurst811/sensogpt-a-remote-sensing-large-language-model-433640.

What stack does SensoGPT: A Remote Sensing Large Language Model use?

tags AMD Xilinx, tutorial, advanced.

When was SensoGPT: A Remote Sensing Large Language Model published?

The source page lists 2024-07-29.

SensoGPT: A Remote Sensing Large Language Model
Hackster.io All from this source License per the original page ai_hardware

Indexed by ZouIC from the source platform public page, for developer reference only. Copyright and licensing stay with the author; get code and files from the original platform.

SensoGPT: A Remote Sensing Large Language Model

Published 2024-07-29

SensoGPT is an innovative solution that integrates LLM with AI-based remote sensing models to automate complex interpretation tasks.

Technical Specifications

Source platform
Hackster.io
Listing note
Metadata fetched from the public platform page; copyright belongs to the original author.
Difficulty
advanced
content type
tutorial

Related resources and purchase links

Statistics

respects
1
views
419

Project Info

Source PlatformHackster.io
Categoryai_hardware
LicenseLicense per the original page
Views419
Likes1
Discussions0

Author Info

Citation Note

This content is sourced from Hackster.io Platform,All rights reserved by the original author. This platform only provides indexing and summaries. For detailed content, please visit the original link.

License per the original page
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