Sustainable AI: Balancing Performance and Energy Efficiency
Summary
AI agents' energy usage varies based on model size, modality, and output length, necessitating a balance between performance and sustainability through efficient model selection, open-source frameworks, and task-appropriate approaches.
Key Points
- AI agents can leverage different types of models with varying energy demands, from task-specific models to large language models, impacting sustainability.
- The modality of inputs and outputs (text, images, etc.) and the length of generated text also affect energy usage, with image-based and generative tasks being more energy-intensive.
- Pursuing a balance between task performance and efficiency, using smaller models when possible, and leveraging open-source frameworks can help guide sustainable development of AI agents.