English(EN) [R] First paper on how to train actual SOTA Decision Models ever: full playbook - architecture, datasets, training, evaluation, inference

Nace AI 详细介绍 Drex 决策模型及新颖训练技术

作者 PulseAugur 编辑部 · [2 个来源] · 2026-11-06 14:39

Nace AI 发布了其 Drex 系列决策模型的详细信息，该系列模型旨在处理状态和问题，输出概率分布，无需自回归解码。模型包括 Drex DLM、v1.5、v2.0 和 Max，采用了扩散 LM、门控 DeltaNets 和稀疏 MoE 等各种架构。Nace AI 采用了诸如基于调整反馈的强化学习 (RLAF) 和一致性训练等技术来提高性能，在决策指数 (Decision Index) 等基准测试中取得了高分，并展示了低校准误差。Drex 模型可供本地使用，并提供与其它领先模型相比具有竞争力的延迟和上下文窗口大小。 AI

影响提供了训练专用决策模型的详细手册，可能影响代理开发和工具选择。

排序理由该集群详细介绍了来自研究实验室的技术报告及相关模型，包括新颖的训练技术和评估结果。

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AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 5 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Research; 该集群详细介绍了来自研究实验室的技术报告及相关模型，包括新颖的训练技术和评估结果。
Source corroboration: 2 independent sources; Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
Topics: model release, paper, 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: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [2]

r/LocalLLaMA TIER_1 English(EN) · /u/m4rkGS · 2026-11-06 16:51

AMA: How we trained a SOTA Decision model, got top 3 on OpenRouter & top on 5 ArtificalAnalysis: full playbook - arch, datasets, training, evals, inference

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1xphq4u/ama_how_we_trained_a_sota_decision_model_got_top/"> <img alt="AMA: How we trained a SOTA Decision model, got top 3 on OpenRouter & top on 5 ArtificalAnalysis: full playbook - arch, datasets, traini…
r/LocalLLaMA TIER_1 English(EN) · /u/m4rkGS · 2026-11-06 14:39

[R] First paper on how to train actual SOTA Decision Models ever: full playbook - architecture, datasets, training, evaluation, inference

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1xpeevv/r_first_paper_on_how_to_train_actual_sota/"> <img alt="[R] First paper on how to train actual SOTA Decision Models ever: full playbook - architecture, datasets, training, evaluation, inference" src="ht…

本文如何被排名

报道来源 [2]

AMA: How we trained a SOTA Decision model, got top 3 on OpenRouter & top on 5 ArtificalAnalysis: full playbook - arch, datasets, training, evals, inference

[R] First paper on how to train actual SOTA Decision Models ever: full playbook - architecture, datasets, training, evaluation, inference

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