Reddit asks: what's the real advantage of routing smaller model jev into LLM prompts
sogo00 · reddit · 2026-09-25
A Reddit user asks for help understanding the hype around jev. Their understanding: jev is a small, fast model that doesn't output text but fills in prompt-defined probabilities, trading complexity for speed and cost — useful for automation.
What confuses them is why so many examples pair jev with full LLMs (e.g., deciding which skills to invoke). What's the actual advantage of feeding a weaker model's responses into the prompt of a smarter one?
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