General-purpose models perform well across a broad set of applications, but they’re often impractical for enterprise use cases that require domain-specific data and terminology.
By 2027, more than 50% of the GenAI models that enterprises use will be domain-specific — specific to either an industry or business function — up from approximately 1% in 2023.
We are already having some examples such as Bloomberg GPT, as custom LLM developed using Bloomberg and financial data. This model will assist Bloomberg in improving existing financial NLP tasks, such as sentiment analysis, named entity recognition, news classification, and question answering, among others.
Thinking Space 