Companies are increasingly customizing generative AI models for their business needs, however, the early tools for this were underdeveloped.
Now businesses are creating unique value from AI and are customizing generative AI models and applications, using advanced methods and tools, for example, retrieval-augmented generation (RAG).
Companies are proceeding with customization, while being aware of the risks surrounding data security, and using RAG to maximize customization gains.
Customized generative AI has been found to be more adaptable and specific to business needs when businesses incorporate their own data and expertise, and teach the models new skills.