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6月27日周五2025-06-271 篇

Qwen
是时候说方言了,Qwen-TTS!Time to Speak Some Dialects, Qwen-TTS!

API DISCORD 介绍 在此我们通过 Qwen API 介绍 Qwen-TTS(qwen-tts-latest 或 qwen-tts-2025-05-22)的最新更新。该模型在包含数百万小时语音的大规模数据集上训练,达到了人类水平的自然度和表现力。值得注意的是…

API DISCORD Introduction Here we introduce the latest update of Qwen-TTS (qwen-tts-latest or qwen-tts-2025-05-22) through Qwen API . Trained on a large-scale dataset encompassing over millions of hours of speech, Qwen-TTS achieves human-level naturalness and expressiveness. Notab…

6月26日周四2025-06-261 篇

Qwen
Qwen VLo:从“理解”世界到“描绘”世界Qwen VLo: From "Understanding" the World to "Depicting" It

QWEN CHAT DISCORD 介绍 多模态大模型的演进不断推动我们对技术可能性的认知边界。从最初的 QwenVL 到最新的 Qwen2.5 VL,我们在提升模型理解图像共…

QWEN CHAT DISCORD Introduction The evolution of multimodal large models is continually pushing the boundaries of what we believe technology can achieve. From the initial QwenVL to the latest Qwen2.5 VL, we have made progress in enhancing the model’s ability to understand image co…

6月23日周一2025-06-231 篇

6月12日周四2025-06-121 篇

EleutherAI
通过局部体积研究随机网络的归纳偏置Studying inductive biases of random networks via local volumes

在这篇文章中,我们将使用星形域体积估计来研究随机神经网络的参数-函数映射的归纳偏置。这基于《Estimating the Probability of Sampling a Trained Neural Network at Random》和《Neural Redshift: Random Ne…》中提出的思想。

In this post, we will study inductive biases of the parameter-function map of random neural networks using star domain volume estimates. This builds on the ideas introduced in Estimating the Probability of Sampling a Trained Neural Network at Random and Neural Redshift: Random Ne…

6月5日周四2025-06-052 篇

EleutherAI
The Common Pile v0.1

宣布 Common Pile v0.1:一个 8TB 的公共领域和开放授权文本数据集

Announcing the Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text

Qwen
Qwen3 嵌入:通过基础模型推进文本嵌入和重新排序Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

GITHUB HUGGING FACE MODELSCOPE DISCORD 我们发布 Qwen3 Embedding 系列,这是 Qwen 模型家族的新专有模型。这些模型专为文本嵌入、检索和重排序任务设计,基于 Qwen3 基础模型构建。利用 Qwen3 强大的 mu…

GITHUB HUGGING FACE MODELSCOPE DISCORD We release Qwen3 Embedding series, a new proprietary model of the Qwen model family. These models are specifically designed for text embedding, retrieval, and reranking tasks, built on the Qwen3 foundation model. Leveraging Qwen3’s robust mu…

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