Harnessing large language models (LLMs) on a small scale requires a clear understanding of minimum viable resources for small and medium-sized businesses.
Balancing hardware, software, and model choices is crucial to deploying LLMs effectively without straining budget or infrastructure.
Knowing what resources to prioritize can save costs and enhance efficiency when deploying LLMs.
Despite being computationally demanding, meaningful results can be achieved with modest equipment if the right resources are prioritized for LLM deployment.