Enterprise automation is increasingly leveraging intelligent agent workflows driven by AI, typically relying on large language models (LLMs) for these applications. While LLMs can address many general-purpose use cases, the deployment and orchestration of these models can add significant complexity and high operational costs.
To tackle enterprise-specific use cases, organizations have begun seeing the benefit of smaller models. As a result, small language models (SLMs) paired with contemporary cloud native platforms such as Kubernetes and
