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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AWS Machine Learning Blog发布于 08/21 05:23

Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 1: Setting up your Snowflake environment

(翻译)使用Snowflake、Amazon SageMaker Canvas和Amazon Quick构建无代码机器学习工作流——第1部分:设置Snowflake环境

Healthcare, retail, and life sciences teams store large volumes of operational data in Snowflake, but turning it into predictions is hard. In Part 1 of this series, you set up your AWS account and Snowflake environment for a no-code ML workflow with Amazon SageMaker Canvas, laying the foundation for

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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 05:23

Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 3: Visualizing insights with Amazon Quick Sight

(翻译)使用Snowflake、Amazon SageMaker Canvas和Amazon Quick构建无代码ML工作流——第3部分:使用Amazon Quick Sight可视化洞察

In Part 3 of this no-code ML series, you bring fraud detection predictions to life. Import your Amazon SageMaker Canvas predictions into Amazon Quick Sight, build interactive dashboards, use generative BI to answer questions in natural language, and publish AI-generated executive summaries for stake

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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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