
Enterprises are increasingly recognizing the value and potential of generative AI in their operations. However, the process of pre-training, fine-tuning, and continuously training large language models (LLMs) can be resource-intensive and time-consuming. Oracle has emerged as a key player in this space, offering enterprises a more streamlined approach to lowering the expense and time commitment associated with generative AI. By










