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End-to-end platforms for building, deploying and governing models inside an organisation. Many predate the current generation of language models and added support for them later. That lineage shows in their strengths, which lean toward governance, lineage and traditional machine learning.
Compare the deployment model, whether self-hosted, private cloud or SaaS. Then governance and audit features, and how well the platform handles classical models and language models together, since most organisations run both. Integration with existing data infrastructure deserves a look before any feature list does.