ScaleDown: Optimize AI prompts to reduce verbosity and carbon footprint

Workshop
During this workshop, you will learn how to leverage the ScaleDown Python package to optimize AI prompts, reduce token usage, and minimize your AI applications' carbon footprint.
We'll explore practical techniques for creating structured templates, implementing model-specific optimizations, and measuring environmental impact. You'll gain hands-on experience with the package's key features while understanding how even small efficiency improvements can lead to significant cost savings and environmental benefits when adopted at scale.

📆 Agenda
18:30 - Introductions
18:35 - Workshop
19:55 - Closing remarks and announcements

GitHub Repo
https://github.com/pyladiesams/optimize-ai-prompts-jun2025

Stream
https://www.youtube.com/live/7N2OWbREAgU

Speaker
Archana Vaidheeswaran
Archana Vaidheeswaran leads AI safety initiatives at Apart Research and creates technical courses as a LinkedIn Learning Instructor. As a former Product Manager at Women Who Code, she architected systems serving a 350,000+ global community. Named among Singapore's 100 Women in Tech 2023, she combines her experience in TinyML research, AI security policy development, and large-scale system architecture to bridge the gap between theory and practice. As a Board Director at Women in Machine Learning and a fellow at Python Software Foundation, she champions responsible AI development through community-driven initiatives.

​📧 Contact
Are you interested in speaking at one of our events? Do you have a good idea for a Meetup topic? Get in touch with us at amsterdam@pyladies.com.

​💬 Find us on the PyLadies Global workspace:

1. ​https://slackin.pyladies.com enter your email address and accept the email invitation
2. ​Go to workspace https://pyladies.slack.com
3. ​Join channel #city-amsterdam