Deploying large language models (LLMs) within an enterprise environment presents unique challenges. Computational constraints often necessitate enhancement strategies to maximize model performance while reducing costs. Robust deployment involves a multi-faceted approach encompassing dataset curation, along with careful infrastructure provisioning.