A recent survey of 300 technology leaders from large organizations across various industries reveals a significant trend: businesses are increasingly customizing generative AI models to meet their specific needs. These leaders are adapting large language models (LLMs) by incorporating proprietary data, teaching new skills, and optimizing prompts. The survey, coupled with in-depth interviews, highlights that customization is not a new concept, but the tools and methods have evolved, allowing for more sophisticated adaptations. Companies are aware of the risks, particularly data security, yet they are pushing forward with advanced techniques like retrieval-augmented generation (RAG) to enhance their AI capabilities. This strategic move aims to create unique value from AI, despite the challenges encountered in the process.
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