Model Optimization improves the speed, efficiency, size, or resource usage of AI models while maintaining acceptable accuracy. Optimization techniques enable faster and more cost-effective deployment.
Voice AI providers optimize speech recognition, language models, and speech synthesis to reduce latency, lower infrastructure costs, and support real-time conversations across cloud and edge environments.