English(EN) China Telecom Open-Sources Xing4.0-29B-Intent to Turn Commands Into Structured Parameters

中国电信开源 Xing4.0-29B-Intent 模型

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-20 07:10

中国电信已开源其 Xing4.0-29B-Intent 模型，该模型旨在将自然语言指令转换为结构化参数。该模型由中国电信的星辰实验室发布，还附带了 275 万个训练样本和一个推理 SDK。此次发布旨在促进用户意图向可操作的结构化数据的转化。 AI

影响为开发者提供从自然语言指令中提取结构化数据的便利。

排序理由主要电信公司发布开源模型。[lever_c_demoted from research: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 主要电信公司发布开源模型。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: model release, product; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: 5 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

Pandaily TIER_1 English(EN) · [email protected] (Pandaily) · 2026-10-20 07:10

中国电信开源 Xing4.0-29B-Intent，将指令转化为结构化参数

China Telecom's XingChen lab released Xing4.0-29B-Intent, which classifies intents and fills structured arguments in one JSON output, along with 2.75 million training samples and an inference SDK.