2026年10月22日 星期四 2 小时前更新 44 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
Adaptive agentic intelligence framework using Strands Agents

AWS 人工智能 全文

Adaptive agentic intelligence framework using Strands Agents

The Adaptive Agentic Intelligence Framework (AAIF), built with Strands Agents, handles routine tasks locally with small language models and routes complex requests to cloud models through Amazon Bedrock. This post walks through building AAIF with local SLMs through Ollama and Amazon Bedrock, using an Internet of Things monitoring scenario.

简讯

AWS 人工智能 全文

Structured outputs for Anthropic Claude models on Amazon Bedrock

Amazon Bedrock now supports structured outputs for all Anthropic Claude models on both the bedrock-runtime and bedrock-mantle endpoints. Receive schema-compliant JSON that conforms to a defined structure, without custom parsing, retry…

Structured outputs for Anthropic Claude models on Amazon Bedrock

AWS 人工智能 全文

Developers can now access SageMaker Studio through the new AWS experience

New Amazon SageMaker AI customers can now land in a fully configured SageMaker Studio environment in only a few steps. Sign up with an identity you already have, such as Amazon, Apple, GitHub, or Google, with no advanced AWS account or…

Developers can now access SageMaker Studio through the new AWS experience

AWS 人工智能 全文

Amazon SageMaker JumpStart: 2026 year-to-date in review

Amazon SageMaker JumpStart onboarded over 100 new models from 30 providers in the first three quarters of 2026. This recap covers the model-onboarding highlights and JumpStart enhancements, including the simplified Model Hub…

Amazon SageMaker JumpStart: 2026 year-to-date in review

AWS 人工智能

Pegasus 1.5 from TwelveLabs is now available in Amazon Bedrock

TwelveLabs Pegasus 1.5 is now available in Amazon Bedrock. The video language model turns long-form video into structured, timestamped metadata: define the moments that matter and get every matching segment back as…

AWS 人工智能

How Deepgram optimized voice AI at scale with AWS Trainium

Deepgram worked with the AWS Forward Deployed Engineering team to port its Nova-3 speech-to-text model to AWS Trainium2 for offline batch inference. This post covers porting to the AWS Neuron stack, kernel-level tuning…
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