You probably don’t need to fine-tune an LLM

The article's title suggests a potentially controversial or counter-intuitive point, likely arguing against a common practice in the field of LLMs. The focus is on efficiency and resource allocation, implying that fine-tuning might be overused or unnecessary in many scenarios.