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Prompting GLM-5.3-Flash enables one-pass decisions competitive with Jev
The approach makes the first output token the decision, using one forward pass; its accuracy and speed match Jev and beat Laya, while costing several times more per decision than Jev. It gives engineers a measured trade-off for low-latency decisions and supports vision inputs.
- What
- A prompting method turns GLM-5.3-Flash into a decision model that returns a typed choice and probabilities in one forward pass.
- How
- It numbers options, puts the state and choices in a JSON prompt, and prefills `choice_index:` so the model’s next token selects an option.
- Why it matters
- Single-pass typed decisions can reduce generation overhead in high-throughput software workflows that need structured choices and confidence values.
Read on privatemode.ai → Hacker News · 28 commentsLobsters
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