Turning GLM-5.3-Flash into a Jev-like decision model
We found an approach to get Jev-like properties from standard LLMs like GLM-5.3-Flash.The core idea is to craft the input prompt so that the first output token answers the question. This makes it possible to get a decis…
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We found an approach to get Jev-like properties from standard LLMs like GLM-5.3-Flash.The core idea is to craft the input prompt so that the first output token answers the question. This makes it possible to get a decision with a single forward pass.In the blog post, we describe the approach in detail for GLM-5.3-Flash and vLLM. We benchmark this setup against Jev and Laya. We find that our setup is on-par with Jev in terms of accuracy and speed and that it substantially outperforms Laya.Still, in terms of costs per decision, Jev is several x better than our setup. In turn, our setup supports vision inputs. Comments URL: https://news.ycombinator.com/item?id=49857656 Points: 5
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