Large models dominate headlines, but enterprise ROI often comes from right-sized systems with predictable latency, lower costs, and stronger deployment control.
- Fine-tuned smaller models can outperform larger general models on narrow workflows.
- On-prem and private-cloud deployment improves compliance posture.
- Lower inference cost enables broader internal adoption.
Sources
- Meta Llama Documentation (Meta)
- Hugging Face Open Models (Hugging Face)