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This post was inspired by an insightful analogy shared by my colleague, who likened LLMs to the engine of a car.
I couldn't help but wonder - are foundation models/LLMs alone sufficient for implementing AI use cases and building AI-powered applications at scale in enterprises today?
With this car analogy in mind, what does watsonx have to offer? It is essentially the platform that provides all the supporting infrastructure including computing power, storage, a wide range of tools and foundation models as well as a collaborative workspace for enterprise teams to bring their own data and build incredible AI systems while ensuring governance and compliance. You can learn more and sign up for a free trial here.