Energi
term_id: energy
Category: basic_concepts
Definition
Energy has two primary meanings in AI. First, it denotes the electrical power required to run hardware, a growing concern for sustainability as models scale. Second, in statistical mechanics-inspired models like Energy-Based Models (EBMs), it refers to a scalar value representing the compatibility of inputs and outputs.
Summary
In AI, energy often refers to the computational power consumed during model training and inference, or a mathematical potential function in probabilistic models.
Key Concepts
- Carbon Footprint
- Energy-Based Models
- Hardware Consumption
- Probabilistic Inference
Use Cases
- Measuring the environmental impact of LLM training
- Training Boltzmann Machines for unsupervised learning
- Optimizing data center power usage for AI workloads