Why Small Language Models Are the Future of Enterprise AI

Enterprises are increasingly turning to small language models (SLMs) as they seek more efficient, cost-effective, and controllable AI solutions in response to the challenges posed by larger generative AI models, such as high costs and latency issues. SLMs are particularly advantageous for real-time applications, on-premises or hybrid deployments, and scenarios with stringent data privacy requirements. A whitepaper highlights their use in various industries, including customer support, finance, and retail, showcasing their faster inference speeds, hardware efficiency, and better ROI compared to larger models. It also offers guidance on deploying and scaling SLMs using Vultr's AI infrastructure to optimize performance and streamline operations.

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