Model access determines who can interact with AI systems, from developers to end-users. It involves permissions for querying, fine-tuning, or deploying machine learning models via APIs or local environments. Key beneficiaries include businesses scaling automation, researchers testing algorithms, and product teams integrating intelligence—all while controlling costs, security, and usage limits.
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