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 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: 25

# Comments: 9