Jev versus text-generating models
Jev does not generate free-form text. A side-by-side video compares parallel decision-making with token-by-token text generation.
Exploring TypeSafe AI's Jev: From Text Generation to Software Decisions
The post introduces TypeSafe AI's Jev, highlighting that AI can make decisions for software rather than just generate text, outlining Input → Decision → Confidence → Action and Choice → Score → Automation.
Exploring TypeSafe AI’s Jev. A simple idea I found interesting: AI can make decisions for software, not just generate text. Input → Decision → Confidence → Action Learning: Choice → Score → Automation #AIEngineering #Jev #TypeSafe
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Pricing, evaluations, and the name Jev
The launch thread explains code-and-AI workflow evaluations, the input price announced at launch, and free output tokens.
Jev Model: Decision-Making Probability Generation, 200× Faster and 400× Cheaper Than LLMs
This model is built for decision-making rather than text generation, outputting probabilities for each option in parallel instead of token-by-token responses. The author shares a simplified comparison of normal LLMs versus this Jev model.
