Small Language Models (SLMs): Developing Energy-Efficient AI Training Course

Introduction to Energy-Efficient AI for Government

• The significance of sustainability in artificial intelligence (AI) for government operations
• Overview of energy consumption in machine learning processes within the public sector
• Case studies of energy-efficient AI implementations in government agencies

Compact Model Architectures for Government Use

• Understanding model size and complexity in governmental applications
• Techniques for designing small yet effective models suitable for public sector needs
• Comparing different model architectures to optimize efficiency for government tasks

Optimization and Compression Techniques for Government AI

• Model pruning and quantization methods for reducing energy consumption in governmental systems
• Knowledge distillation techniques for creating smaller models that meet public sector requirements
• Efficient training methods to minimize energy usage in government AI projects

Hardware Considerations for Government AI

• Selecting energy-efficient hardware for training and inference in governmental applications
• The role of specialized processors like TPUs and FPGAs in government AI operations
• Balancing performance and power consumption to meet public sector efficiency standards

Green Coding Practices for Government AI

• Writing energy-efficient code for governmental systems
• Profiling and optimizing AI algorithms to reduce environmental impact in government projects
• Best practices for sustainable software development within the public sector

Renewable Energy and Government AI Operations

• Integrating renewable energy sources into AI operations for government agencies
• Data center sustainability initiatives in the public sector
• The future of green AI infrastructure for government use

Lifecycle Assessment of Government AI Systems

• Measuring the carbon footprint of AI models deployed by government agencies
• Strategies for reducing environmental impact throughout the lifecycle of government AI systems
• Case studies on lifecycle assessment in government AI projects

Policy and Regulation for Sustainable Government AI

• Understanding global standards and regulations relevant to sustainable AI in the public sector
• The role of policy in promoting energy-efficient AI for government operations
• Ethical considerations and societal impact of government AI initiatives

Project and Assessment for Government AI

• Developing a prototype using small language models in a chosen domain relevant to the public sector
• Presentation of the energy-efficient AI system designed for government use
• Evaluation based on technical efficiency, innovation, and environmental contribution for government applications

Summary and Next Steps for Government AI Initiatives