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Why Jev Is Changing How We Build With AI
Why it mattersDiogo Almeida discusses Jev, TypeSafe’s model for bringing fast, reliable intelligence into software, and why he believes text-generation models are poorly suited to some real-world automation decisions. The conversation covers how Jev differs from classifiers and LLM-based approaches, reinforcement learning from calibrated decisions (RLCD), uncertainty estimation, and how models and code might work together in AI agents.
Discuss: How might Jev’s emphasis on calibrated decisions change the balance between models and code in AI-powered software?
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