FINE-TUNING MAJOR MODEL PERFORMANCE FOR ENTERPRISE SCALE

Deploying large language models (LLMs) within an enterprise environment presents unique challenges. Computational constraints often necessitate refinement strategies to leverage model performance while minimizing costs. Effective deployment involves a multi-faceted approach encompassing architecture tuning, along with careful deployment strategy. I