Enterprises lack affordable tooling to train specialized small language models
Enterprise teams building AI features often rely on generic foundation models rather than task-specific ones, because building and reinforcement-training a small specialized model requires ML infrastructure and RL expertise most product teams lack in-house. This limits how many teams can ship differentiated, cost-efficient AI features.
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