Gurgaon, April 10 -- According to Gartner, by 2027, organisations are expected to adopt small, task-specific AI models at a scale three times greater than general-purpose large language models (LLMs).

While general-purpose LLMs offer strong language capabilities, their accuracy tends to decrease when applied to tasks that require a detailed understanding of specific business domains. As a result, enterprises are likely to prioritise specialised models that deliver more precise and context-aware outputs for targeted use cases.

"The variety of tasks in business workflows and the need for greater accuracy are driving the shift towards specialised models fine-tuned on specific functions or domain data," said Sumit Agarwal, VP Analyst at Gar...