extension ExtPose

Carbon ScaleDown

CRX id

jofapkamgblhjajlppnaiomcjhnllhnd-

Description from extension meta

Calculate the Carbon Footprint of your ChatGPT Conversations

Image from store Carbon ScaleDown
Description from store ScaleDown Carbon is designed to raise awareness and promote sustainable use of Large Language Models. This innovative tool calculates the carbon footprint of your interactions with ChatGPT, with support for other LLMs coming soon. Key Features: Real-Time Carbon Footprint Calculation: Estimate the carbon emissions associated with each ChatGPT query. It considers factors such as computing power, model type, and the size of your text and image queries. Interactive Dashboard: Enjoy a user-friendly interface that displays your cumulative carbon footprint. Track your daily, weekly, and monthly AI interactions and their environmental impact. Educational Insights: Learn about the environmental impact of using LLMs. We also provides tips on how to reduce your digital carbon footprint, fostering more eco-conscious usage of AI technologies. Sustainability Goals Setting: Set personal goals for reducing your carbon emissions. Monitor your progress and challenge yourself to be more eco-friendly. Offset Suggestions: Based on your usage, receive recommendations for carbon offset initiatives. Contribute to environmental projects to balance out your digital carbon footprint. Privacy-Conscious: We value your privacy. It calculates the carbon footprint without storing or analyzing the content of your queries. Regular Updates and Support: Stay up-to-date with regular updates that improve accuracy and add new features, backed by responsive customer support. Ideal for environmentally conscious individuals, educators, and businesses, ScaleDown Carbon is more than just an extension. It's a step towards a greener, more sustainable future in our digital world. Join us in making every chat with ChatGPT eco-friendly!

Statistics

Installs
Category
Rating
5.0 (1 votes)
Last update / version
2024-01-10 / 0.1.5
Listing languages
en

Links