AI TCH AR Armin Norouzi, Ph.D · Level Up Coding Structured Output Reliability: JSON Mode vs. Constrained Decoding A pipeline calls an LLM and parses the response as JSON. The pipeline runs 100,000 times a day. Roughly 8,000 of those responses fail…
SPT AI SO Sonja Meyer From Parsers to AI: Why ANTLR and GBNF Are Becoming the Backbone of Structured LLM Applications Large Language Models can generate convincing text, write code, and answer complex questions. However, in real-world systems, free-form…
AI SPT SO Softaverse 不用find-tune也能保證Llama 2不亂說話！善用“Grammar”客製化輸出內容 LLM（Large Language Module）最讓人詬病的問題之一是「亂說話」，得到不是預期的回應。 本篇文章介紹如何利用文法（Grammar）規則限縮Llama 2的生成內容，讓輸出維持在可控範圍同時保留LLM發揮創意、生成內容的優勢。
