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English(EN) Kimi K2.6 from @Kimi_Moonshot is now available on @FireworksAI_HQ Training Platform across the Managed and Training API workflows.

Fireworks AI 将 Kimi K2.6 模型添加到其训练平台

Fireworks AI 已宣布将 Kimi Moonshot 的 Kimi K2.6 模型集成到其训练平台。此次集成允许用户通过 Fireworks AI 的托管和训练 API 工作流来利用 Kimi K2.6 模型。该平台支持多种训练方法,包括监督微调 (SFT)、直接偏好优化 (DPO) 和强化学习 (RL),并提供智能默认设置和自定义损失函数选项,同时支持 265K 上下文窗口。 AI

影响 扩展了使用 Fireworks AI 平台的开发者的训练选项,能够对具有大上下文窗口的模型进行微调。

排序理由 将特定模型 (Kimi K2.6) 集成到推理平台,从而实现新的训练功能。

在 X — Fireworks (inference infra) 阅读 →

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

Fireworks AI 将 Kimi K2.6 模型添加到其训练平台

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
Research
将特定模型 (Kimi K2.6) 集成到推理平台,从而实现新的训练功能。
Source corroboration
2 independent sources
Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
Topics
model release, infra
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
170 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。

报道来源 [2]

  1. X — Fireworks (inference infra) TIER_1 English(EN) · FireworksAI_HQ ·

    您希望接下来看到什么?完整的参数调整?

    What would you like to see next? Full Param tuning?

  2. X — Fireworks (inference infra) TIER_1 English(EN) · FireworksAI_HQ ·

    来自 @Kimi_Moonshot 的 Kimi K2.6 已在 FireworksAI 托管和训练 API 工作流的训练平台上线。

    Kimi K2.6 from @Kimi_Moonshot is now available on @FireworksAI_HQ Training Platform across the Managed and Training API workflows. Try SFT, DPO, RL with smart defaults or your own custom loss function with industry leading 265K context window. https://t.co/jqKuwWWEB0