Integration capabilities represent another crucial consideration. Mississippi’s JSON output capability makes it particularly valuable for businesses looking to automate document processing workflows. However, different SLMs offer different integration options, from simple APIs to more complex custom deployment solutions. The availability of documentation, community support, and integration tools can significantly impact implementation success.
The future of SLMs looks promising, with ongoing research pushing the boundaries of what’s possible with compact models. H2O.ai’s success with Mississippi suggests we’re just beginning to understand how specialized architectures can overcome the limitations of model size. As more organizations recognize the advantages of SLMs, we’re likely to see increased innovation in model efficiency and specialization.