Generic LLMs have become a commodity, readily available everywhere. However, specialized LLMs are essential for specific domains. For companies in fields like medicine and finance, where domain expertise and industry-specific terminology are critical, fully training an LLM from scratch may be impractical. In such cases, fine-tuning offers a cost-effective way to tailor an existing model to meet specialized needs.

What’s more, deploying a local LLM and fine-tune it for proprietary business usage is what most companies are looking for earnestly now.

How to do it?