AIHacker Newsabout 3 hours ago
Deterministic AI: not everything needs a token
1 min read
The case for deterministic AI argues that not every task requires a probabilistic model. Deterministic systems offer predictable, repeatable outputs without token costs, making them more efficient for rule-based operations. The approach challenges the assumption that all AI problems need large language models.
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