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.
How Jev avoids LLM bias toward LLM-generated CVs
The post asks: since LLMs prefer CVs generated by other LLMs or the same model, and Jev isn't an LLM, how does Jev prevent that bias?
LLMs prefer CVs generated by other LLMs, or even by the same model. Since Jev isn't an LLM, how does Jev prevent that bias ?
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