Tag : Resource Optimization

AI can significantly reduce costs in a number of business areas: Automated work: Reduces labor costs and improves efficiency. Predictive maintenance: Prevents costly breakdowns. Resource optimization: Streamlines supply chains and inventory. Improve customer service: Handles basic queries, freeing up human agents. Improves R&D and production: Speeds up processes and reduces errors.

AI model optimization makes AI models faster, smaller, and more efficient by improving performance and reducing resource requirements. Key techniques include pruning, quantization, knowledge distillation, and hyperparameter tuning. This enables deployment on resource-constrained devices and reduces costs.