Enterprise use cases for generative AI are becoming far more sophisticated than at first thought. The engineering required spans these eight separate layers.

Much of the early discussion about generative AI in the enterprise was focused on the choice of foundational Large Language Models (LLMs). But after a year of seeing how enterprise vendors have harnessed this new form of AI, it’s become obvious that there’s a lot more to it than the underlying models. LLMs form a part of just one layer in the entire stack that’s required to apply generative AI effectively and safely to enterprise use cases.

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