As AI solutions accelerate across enterprises, it becomes increasingly expensive to use public models, which have the added risk of enterprise data potentially being exposed to third parties. The Models-as-a-Service (MaaS) approach enables enterprises to offer open source models (and the required AI technology stack) that can be used as a shared resource by the entire company.Additionally, as an enterprise's AI adoption accelerates, there’s often a lack of consistency as each business group strives to build their own bespoke AI solutions covering a wide range of use cases (Chatbot, code assi
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