Custom LLM vs. Fine-Tuning: Which Does Your Business Actually Need?
Businesses adopting enterprise AI increasingly face a critical decision between building custom large language models and fine-tuning existing AI systems. While custom LLMs offer maximum control, specialization, and scalability, fine-tuning provides faster deployment and lower infrastructure costs. This guide explains the differences, benefits, challenges, and business use cases for both approaches to help organizations choose the right AI strategy for long-term success.
Jun 18, 2026
26
11 min read
