Google DeepMind Blog发布于 08/12 22:01

Putting sign language AI into users’ hands

(翻译)将手语AI交到用户手中

Introducing sign-language-to-text (SL2T), our breakthrough model powering new sign language features for Deaf and hard of hearing users.

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NVIDIA Technical Blog发布于 08/20 01:50

Building Federated Multimodal AI Workflows with NVIDIA FLARE

(翻译)使用 NVIDIA FLARE 构建联邦多模态 AI 工作流

Modern vision-language models (VLMs) can support tasks such as visual question answering, captioning, and image-text reasoning. In practice, however…

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Google DeepMind Blog发布于 06/11 00:24

DiffusionGemma: 4x faster text generation

(翻译)DiffusionGemma:文本生成速度最高提升4倍

An overview of DiffusionGemma, an exceptionally fast text generation model with up to 4x faster speeds.

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AWS Machine Learning Blog发布于 08/21 00:06

AWS vector solutions: Build agentic AI where your data lives

(翻译)AWS 向量解决方案:在数据所在之处构建智能体 AI

AWS offers a broad portfolio of vector search built directly into the databases and storage services you already use, with no standalone vector database or data migration required. This post covers six purpose-built services, a decision framework for choosing the right engine, and customer proof poi

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NVIDIA Technical Blog发布于 08/25 23:00

CUDA Python 1.0: Stable APIs, One Foundation, Full Platform Access

(翻译)CUDA Python 1.0:稳定API、统一基础、完整平台访问

For years, a Python developer who needed a GPU had two realistic choices: Learn NVIDIA CUDA C++ well enough to write an extension, set up a build toolchain…

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AWS Machine Learning Blog发布于 08/26 00:35

Governed reports with Amazon Quick Desktop and Amazon FSx for NetApp ONTAP

(翻译)使用Amazon Quick Desktop和Amazon FSx for NetApp ONTAP实现受治理的报告

Build a governed weekly reporting workflow with Amazon Quick Desktop and Amazon FSx for NetApp ONTAP. An Amazon S3 access point exposes an approved folder to a Quick knowledge base, and a custom skill drafts cited weekly reports and Slack summaries with human review before anything is shared.

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Hugging Face Blog发布于 08/25 23:14

Granite 4.2 LLMs: How They're Built

(翻译)Granite 4.2 大语言模型:它们是如何构建的

A Blog post by IBM Granite on Hugging Face

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