Thread · HN Continuity

In the limitations you say that “Out-of-the-box base models score ~0.35 on the typed-decisions benchmark (near random). The 0.766 score is achieved by fine-tuning on the benchmark's train split. Treat Laya as a fast foundation model to specialize, not as an omniscient zero-shot oracle.” - but that’s the whole point, you can obviously fine-tune specialized models but having a model follow you instructions and be promotable and fast makes it massively easier to use.