
Model Selection Should Start With Recovery, Not Brilliance
OpenAI, Anthropic, Google Cloud and IBM all bring model selection back to one question: when the model fails, can the team test it, stop it and switch back?
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OpenAI, Anthropic, Google Cloud and IBM all bring model selection back to one question: when the model fails, can the team test it, stop it and switch back?