Choosing the Right SLM for Your Needs

The growing landscape of Small Language Models presents both opportunities and challenges for organizations looking to implement AI solutions. Mississippi’s success in document processing demonstrates how specialized SLMs can excel in specific domains, but it also raises important questions about model selection and deployment.

When evaluating SLMs, performance metrics need to be considered in context. While Mississippi’s OCRBench scores are impressive, they’re particularly relevant for document processing tasks. Organizations need to evaluate models based on their specific use cases. This might mean looking at inference speed for real-time applications, accuracy on domain-specific tasks, or resource requirements for edge deployment.