2026年11月14日 星期六 2 小时前更新 113 篇报道 来源 RSS

The Wire

我们阅读的各家财经媒体,汇集于此。获得授权的报道全文转载并注明作者;其余内容仅包含标题和一小段引文,直接链接至出版方。

来自 AWS——Machine Learning Blog 全部来源

AWS 人工智能 全文

Taxbit Assist: A grounded, role-aware AI agent on Amazon Bedrock AgentCore

Taxbit built Taxbit Assist, a cited, permission-aware AI assistant embedded in its enterprise dashboard, on Amazon Bedrock AgentCore. This post shows how they grounded answers in a curated knowledge base, enforced role-aware and…

Taxbit Assist: A grounded, role-aware AI agent on Amazon Bedrock AgentCore

AWS 人工智能 全文

Getting started with Web Answer on Amazon Bedrock AgentCore

Web Answer on Amazon Bedrock AgentCore returns a synthesized, source-cited answer to a natural-language question in a single tool call, with no search, retrieve, synthesize, and citation pipeline to build. Learn how it works and how to add…

Getting started with Web Answer on Amazon Bedrock AgentCore

AWS 人工智能 全文

How Amazon Marketplace evaluates content quality with Amazon SageMaker AI

Learn how Amazon Marketplace evaluates A+ Content quality at scale on Amazon SageMaker AI by rendering each product page as a single snapshot, scoring it with a vision-language model fused with OCR readability signals in a CatBoost…

How Amazon Marketplace evaluates content quality with Amazon SageMaker AI

AWS 人工智能 全文

Use decision models with Amazon Bedrock AgentCore Evaluations

Some agent-evaluation questions are narrow and repeatable, and decision models answer exactly that kind of question. This post shows how to connect two decision models, Jev and Strands Decider, to Amazon Bedrock AgentCore Evaluations…

Use decision models with Amazon Bedrock AgentCore Evaluations

AWS 人工智能 全文

Prepare web content for Amazon Bedrock Knowledge Bases with Crawl4AI

This post shows how to use Crawl4AI, an open source web crawler, as a content preparation layer for Amazon Bedrock Knowledge Bases, handling JavaScript rendering, selective extraction, and custom metadata enrichment before web content…

Prepare web content for Amazon Bedrock Knowledge Bases with Crawl4AI

AWS 人工智能 全文

Build efficient agents with knowledge distillation on Amazon SageMaker AI

Agentic assistants built on frontier models run a multi-step tool loop, and paying frontier prices on every step is hard to sustain at production scale. This post shows how to use sequence-level knowledge distillation (SeqKD) to transfer a…

Build efficient agents with knowledge distillation on Amazon SageMaker AI

AWS 人工智能 全文

How Worldwide Express automated freight exceptions with Amazon Bedrock

Worldwide Express automated its less-than-truckload freight billing-exception process with a multi-agent solution built on Amazon Bedrock. Six months after launch, the company cut active exceptions by 75%, improved time-to-cash by four…

How Worldwide Express automated freight exceptions with Amazon Bedrock

AWS 人工智能 全文

Configure the ChatGPT desktop app with Amazon Bedrock in AWS GovCloud (US)

The ChatGPT desktop app is now available on Amazon Bedrock in AWS GovCloud (US). This post walks through a controlled local deployment that routes model inference to Amazon Bedrock in AWS GovCloud (US-West) using API-mode sign-in, a…

Configure the ChatGPT desktop app with Amazon Bedrock in AWS GovCloud (US)

AWS 人工智能 全文

Building an Agentic AI Platform on Amazon Bedrock AgentCore

Stand up a governed, multi-account Agentic AI Platform on Amazon Bedrock AgentCore. This post walks through the architecture and an open-source reference blueprint: the operating model, control plane, per-Workstream cells, separate…

Building an Agentic AI Platform on Amazon Bedrock AgentCore

AWS 人工智能 全文

Distributed training with Ray Train DLCs and EFA on EKS

The Ray Train Deep Learning Container ships the full CUDA-through-EFA stack, so you build no image. This post walks through a reproducible sample that fine-tunes Qwen2.5-1.5B with PyTorch FSDP across eight GPUs on two EFA-enabled…

Distributed training with Ray Train DLCs and EFA on EKS

AWS 人工智能 全文

Fleet-wide computer vision lifecycle at the edge with SageMaker SDK v3

Fleet-wide computer vision needs a model per camera, not one model for the whole fleet. This post presents a working Amazon SageMaker SDK v3 reference architecture that trains, quality-gates, compiles per-camera models with SageMaker Neo…

Fleet-wide computer vision lifecycle at the edge with SageMaker SDK v3

AWS 人工智能 全文

Multi-Turn Reinforcement Learning on Amazon SageMaker AI: A hands-on guide

Multi-Turn Reinforcement Learning (MTRL) on Amazon SageMaker AI trains models on the outcome of a whole multi-step task rather than labeled steps. This hands-on guide walks the full pipeline using Wordle: deploying the agent and reward on…

Multi-Turn Reinforcement Learning on Amazon SageMaker AI: A hands-on guide

AWS 人工智能 全文

Orchestrating SageMaker AI endpoint auto scaling with AWS CDK

Updating a SageMaker AI endpoint that has Application Auto Scaling registered makes AWS CloudFormation and AWS CDK deployments fail. This post shows how to build a reusable AWS CDK construct with CloudFormation custom resources that…

Orchestrating SageMaker AI endpoint auto scaling with AWS CDK

AWS 人工智能 全文

Amazon Polly delivers a major upgrade to its Generative engine

The Amazon Polly Generative engine gets a major upgrade: more expressive, more accurate speech with low latency, plus 14 new voices across 9 locales and general availability of Hindi and Finnish. This drop-in upgrade requires no code…

Amazon Polly delivers a major upgrade to its Generative engine
更多报道

标有全文的报道按出版方允许的条件在此转载,并注明作者、链接至原文。其余内容仅包含标题和一小段引文,直接链接至出版方。 我们如何引用 · 我们的来源