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别名:Amazon Web Services、@awscloud

Cloud computing provider affiliated with the speaker and the agentic framework demo.

已跟踪 30 条高相关材料

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已收录 30 条与 AWS 相关的内容,按评分排序。

AI Dev 26 x SF | Marc Brooker: It's Time to Be Right

AI Dev 26 x SF | Marc Brooker: It's Time to Be Right

DeepLearning.AI2999 字 (约 12 分钟)
87

Marc Brooker asserts that the commercial scale of Agentic AI is gated by defect rate, not model capability; only pushing both frequency and severity of defects into the “low-low” quadrant unlocks trillion-dollar knowledge-work markets.

入选理由:缺陷率每降 1%,Agent 可覆盖的知识工作场景呈指数级扩大

FeaturedVideo#Agentic AI#AWS#Defect Rate#Knowledge Work#Feedback Loop英文
The platform cycle has turned. Here’s how partners win it.

The Platform Cycle Has Turned. Here’s How Partners Win It.

Elastic Blog1092 字 (约 5 分钟)
85

The platform cycle has turned, and partners are becoming increasingly important in helping customers navigate change. Elastic's Elasticsearch Platform sits at the intersection of today's largest enterprise priorities, offering AI-powered search, unified observability, and modern security operations on a single data layer. This platform creates a significant opportunity for partners who move early, as it naturally expands within accounts, providing a compounding services opportunity that point so

入选理由:Partners are becoming increasingly important in helping customers navigate change.

FeaturedArticle#AI#search#security#platform#partnership中文
Reducing container cold start times using SOCI index on DLAMI and DLC

Reducing Container Cold Start Times Using SOCI Index on DLAMI and DLC

AWS Machine Learning Blog1982 字 (约 8 分钟)
85

Reducing container cold start times using SOCI index on DLAMI and DLC

入选理由:SOCI 索引支持的 Deep Learning AMI 和 Containers 可以显著减少冷启动时间,提高生产环境的效率。

FeaturedArticle#AWS#containerization#deep learning#performance optimization中文
OpenAI Blog 图标

OpenAI frontier models and Codex are now available on AWS

OpenAI Blog417 字 (约 2 分钟)
85

OpenAI's frontier models and Codex are now generally available on AWS, enabling enterprises to deploy AI capabilities through existing security, compliance, and governance workflows, significantly reducing barriers to production adoption.

入选理由:OpenAI 前沿模型与 Codex 通过 Amazon Bedrock 在 AWS 上提供,支持商业和 GovCloud 区域。

FeaturedArticle#OpenAI#AWS#Codex#Amazon Bedrock#AI in Production英文
How AWS SMGS uses an AI-powered conversational assistant to transform business management with Amazon Bedrock AgentCore

AWS uses Amazon Bedrock AgentCore to build an intelligent conversational assistant called NarrateAI, which automates narrative generation and enables real-time interactions to achieve scalable business intelligence, addressing limitations of traditional BI such as time-consuming preparation, data fragmentation, and limited access.

入选理由:NarrateAI 通过批处理和实时交互的两层架构,实现了大规模业务智能。

FeaturedArticle#AWS#Amazon Bedrock AgentCore#NarrateAI#Business Intelligence#Real-time Interaction中文
Building AI agents for business support using Amazon Bedrock AgentCore

Building AI agents for business support using Amazon Bedrock AgentCore

AWS Machine Learning Blog1294 字 (约 6 分钟)
85

AWS Machine Learning Blog article discusses how AWS Generative AI Innovation Center collaborated with Works Human Intelligence to build two AI agents using Amazon Bedrock AgentCore, showcasing cost reductions and increased efficiency.

入选理由:通过使用 Amazon Bedrock AgentCore,成功构建了两个业务支持的 AI 代理,分别处理通勤补贴申请和浏览器操作。

FeaturedArticle#AWS#Bedrock AgentCore#HR Automation#AI Agents中文
Process financial documents using Amazon Bedrock Data Automation

Process Financial Documents Using Amazon Bedrock Data Automation

AWS Machine Learning Blog1699 字 (约 7 分钟)
85

Amazon Bedrock Data Automation simplifies the extraction, validation, and analysis of data from various financial documents using advanced foundation models.

入选理由:Amazon Bedrock Data Automation automates the extraction, validation, and analysis of data from financial documents.

FeaturedArticle#Amazon Bedrock Data Automation#financial documents#foundation models中文
Introducing the Agent Toolkit for Amazon Web Services

Introducing the Agent Toolkit for Amazon Web Services

Towards Data Science3450 字 (约 14 分钟)
85

AWS 推出了 Agent Toolkit,帮助 AI 编码代理更可靠地与 AWS 交互,通过集成 MCP 服务器提供最新的 AWS 上下文和工具。

入选理由:Agent Toolkit 提供了针对 AWS 的特定技能和插件。

FeaturedArticle#AWS#Agent Toolkit#MCP Server#AI 编码代理中文
科技爱好者周刊(第 397 期):财富正在向 AI 集中

科技爱好者周刊(第 397 期):财富正在向 AI 集中

阮一峰的网络日志4040 字 (约 17 分钟)
85

本期科技爱好者周刊聚焦于AI技术的快速发展及其对社会财富分配的影响。文章指出,AI相关产业如内存、储存、CPU、服务器等的股价大幅上涨,表明财富正迅速向AI领域集中。此外,文章还探讨了AI在日常生活中的应用,如通过AI估算食物的碳水含量,但实验表明AI在这方面并不准确。微软宣布将淘汰短信验证码,转而采用更安全的验证方式,如Passkey。亚马逊推出供应链服务,开放其物流网络,可能对制造业产生影响。最后,文章介绍了一个机械打字机模型玩具,以及几篇技术文章,包括关于GitHub Pages域名盗用问题、JavaScript ShadowRealm API和Firefox配置指南。

入选理由:AI相关产业的股价大幅上涨,表明财富正迅速向AI领域集中。

FeaturedArticle#AI#财富分配#微软#亚马逊#供应链服务#Passkey#GitHub Pages#ShadowRealm API#Firefox配置中文
🆕Daytona’s Agent-Native Compute: 60ms sandboxes, 50K startups in 75 sec, 850K daily runs, RL/evals,...

Daytona's Agent-Native Compute platform is designed for AI agents, offering ultra-fast sandboxes, high startup rates, and massive daily runs, making it ideal for reinforcement learning and evaluations. The platform has pivoted from human developer environments to focus on agent sandboxes, emphasizing bare metal performance and stateful snapshots. With RL workloads accounting for nearly half of its usage, Daytona is redefining the AI cloud landscape, potentially shifting it towards a model similar to Stripe rather than AWS.

入选理由:Daytona's Agent-Native Compute provides 60ms sandboxes and can start up 50,000 instances in 75 seconds, handling 850,000 daily runs.

FeaturedTweet#AI Agents#Compute Platform#Reinforcement Learning#Cloud Computing#Daytona中文
The Story Behind Cerebras’ $63 Billion IPO with Founder and CEO Andrew Feldman

Cerebras' AI computers achieve 15-20x faster inference than GPUs, secured a $20B deal with OpenAI, and expanded through AWS cloud deployment, driving AI infrastructure innovation.

入选理由:Cerebras的AI推理速度比GPU快15-20倍,覆盖所有规模模型

FeaturedVideo#Cerebras#AI Chips#OpenAI#AWS#IPO英文
Building multi-tenant agents with Amazon Bedrock AgentCore

Building multi-tenant agents with Amazon Bedrock AgentCore

AWS Machine Learning Blog3920 字 (约 16 分钟)
85

Amazon Bedrock AgentCore solves core challenges of tenant isolation, cost, and observability in multi-tenant agent applications through session-isolated microVM architecture and tiered model strategies, providing built-in tenant identity management and data isolation.

入选理由:AgentCore的微VM架构实现会话级隔离,每个租户会话拥有独立文件系统,降低数据泄漏风险,同时避免全虚拟机的资源开销

FeaturedArticle#Amazon Bedrock AgentCore#Multi-tenant architecture#Microservices#Model tiering#SaaS英文
Amazon Nova Act is now HIPAA eligible

Amazon Nova Act is now HIPAA eligible

AWS Machine Learning Blog684 字 (约 3 分钟)
85

Amazon Nova Act now qualifies as a HIPAA eligible service, enabling healthcare organizations to automate workflows involving ePHI with compliant AI agents.

入选理由:HIPAA compliance allows Nova Act to process ePHI for tasks like appointment scheduling and insurance verification in healthcare portals.

FeaturedArticle#Amazon Nova Act#HIPAA#Healthcare Automation#AWS英文
Cyber resilience on AWS: A reference approach for recovery from ransomware and destructive events

AWS recommends isolating production, recovery, and validation environments with logical air-gapped vaults and the Rebuild-Restore-Rotate framework to achieve cyber resilience recovery capabilities.

入选理由:使用生产、恢复、隔离恢复环境(IRE)三账户架构,切断威胁传播路径

FeaturedArticle#AWS#Cybersecurity#Recovery Strategy#Cloud Architecture英文
Last Week in AI 图标

LWiAI Podcast #245 - TML-Interaction, Claude For Legal, Sam Altman on Stand

Last Week in AI624 字 (约 3 分钟)
85

This episode highlights OpenAI's real-time voice API, Thinking Machines' interactive model architecture, Anthropic's legal product, and market dynamics, revealing advancements in real-time interaction, vertical applications, and security compliance.

入选理由:OpenAI推出GPT Realtime 2 API,强调低延迟与推理的平衡,新增反欺诈防护。

FeaturedArticle#AI API#Real-time Interaction#Legal Tech#Model Security#Platform Competition英文
Multimodal evaluators: MLLM-as-a-judge for image-to-text tasks in Strands Evals

Multimodal Evaluators: MLLM-as-a-Judge for Image-to-Text Tasks in Strands Evals

AWS Machine Learning Blog2366 字 (约 10 分钟)
85

AWS announced four new multimodal evaluators (Overall Quality, Correctness, Faithfulness, Instruction Following) using MLLM-as-a-Judge approach, evaluating whether model responses align with image content by providing source data directly to the model, effectively detecting visual hallucinations and factual errors.

入选理由:Gartner预测到2030年,80%的企业软件将采用多模态技术,比2024年不足10%大幅增长,凸显自动化多模态评估的重要性。

FeaturedArticle#AWS#Multimodal Evaluation#Strands Evals#MLLM-as-a-Judge#Image Understanding英文
Implementing programmatic tool calling on Amazon Bedrock

Implementing programmatic tool calling on Amazon Bedrock

AWS Machine Learning Blog3640 字 (约 15 分钟)
85

Amazon Bedrock now supports Programmatic Tool Calling (PTC), allowing LLMs to generate Python code for batch tool execution instead of sequential round trips, dramatically reducing latency and token usage for multi-tool workflows. AWS offers three implementation paths: self-hosted Docker sandbox, Bedrock AgentCore Code Interpreter, and Anthropic SDK-compatible proxy.

入选理由:传统工具调用在多工具场景下存在三重问题:每个中间结果都消耗 token、每次调用增加一次推理延迟、用自然语言处理大量数据容易出错

FeaturedArticle#Amazon Bedrock#LLM#Tool Calling#AWS#AI Agent英文
Extending conversational memory in Kiro CLI using Amazon Bedrock AgentCore Memory

Extending conversational memory in Kiro CLI using Amazon Bedrock AgentCore Memory

AWS Machine Learning Blog1500 字 (约 6 分钟)
82

By building a custom MCP server integrated with Amazon Bedrock AgentCore Memory, Kiro CLI achieves persistent conversational memory across sessions, solving the context forgetting issue in Agentic IDEs.

入选理由:利用 MCP 协议将 Bedrock AgentCore Memory 集成到 Kiro CLI,实现跨会话记忆。

FeaturedArticle#AWS#MCP#Agent#Kiro CLI#Bedrock英文
From idea to AI app: Creating intelligent research assistants with Strands

From idea to AI app: Creating intelligent research assistants with Strands

AWS Machine Learning Blog2434 字 (约 10 分钟)
78

By using Strands Agents and AWS services, the author built a fully functional AI research assistant in just 30 lines of code, simplifying the process of developing AI applications.

入选理由:使用 Strands Agents 和 AWS 服务可以在 30 行代码内构建智能研究助手。

FeaturedArticle#Strands Agents#AWS#AI Application Development中文
Build high-performance generative AI systems with Strands Agents, NVIDIA NIM, and Amazon Bedrock AgentCore

This article introduces how to build high-performance generative AI systems on AWS by combining NVIDIA NIM, Amazon Bedrock AgentCore, and Strands Agents.

入选理由:通过结合 NVIDIA NIM、Amazon Bedrock AgentCore 和 Strands Agents,可以在 AWS 上构建高性能的生成式 AI 系统。

FeaturedArticle#AWS#generative AI#NVIDIA NIM#Amazon Bedrock AgentCore#Strands Agents中文
The AWS FinOps Guide for Series A Startups: The 8 Cost Patterns That Appear After Product-Market Fit

This guide provides AWS FinOps strategies for Series A startups, identifying eight predictable cost patterns that emerge after achieving product-market fit, and offering actionable solutions to optimize infrastructure spending.

入选理由:产品市场契合后(6-12 个月),初创公司通常出现 8 种可预测的 AWS 成本模式,如开发环境闲置。

FeaturedArticle#AWS#FinOps#Cost Optimization#Startups#DevOps英文
OpenAI is now available for enterprises on Amazon Bedrock:

OpenAI is now available for enterprises on Amazon Bedrock

Greg Brockman(@gdb)98 字 (约 1 分钟)
75

OpenAI's frontier models and Codex are now generally available on AWS via Amazon Bedrock, enabling enterprises to integrate OpenAI capabilities within their existing AWS security, compliance, and governance workflows.

入选理由:OpenAI 的 frontier models 和 Codex 现已通过 Amazon Bedrock 在 AWS 上通用可用。

FeaturedTweet#OpenAI#Amazon Bedrock#AWS#Enterprise AI#Model Integration英文
OpenAI models and Codex, now in your AWS workflows.

Build AI apps and software engineering workflow...

OpenAI Models and Codex Now in Your AWS Workflows

OpenAI Developers(@OpenAIDevs)181 字 (约 1 分钟)
75

OpenAI's frontier models and Codex are now generally available on AWS via Amazon Bedrock, enabling enterprises to build AI applications and software engineering workflows using their existing AWS security, compliance, and governance processes.

入选理由:OpenAI 模型(包括 Codex)现已通过 Amazon Bedrock 在 AWS 上正式上线,支持企业级部署。

FeaturedTweet#OpenAI#AWS#Amazon Bedrock#Codex#AI Development英文
OpenAI frontier models and Codex are now generally available on AWS, giving enterprises a new way to...

OpenAI Frontier Models and Codex Now Generally Available on AWS

OpenAI(@OpenAI)180 字 (约 1 分钟)
75

OpenAI’s frontier models and Codex are now generally available on AWS, enabling enterprises to integrate OpenAI via Amazon Bedrock while leveraging existing security, compliance, and governance workflows—marking the start of OpenAI’s broader cloud ecosystem expansion.

入选理由:OpenAI 前沿模型(如 GPT-4 系列)和 Codex 已通过 AWS 官方渠道上线,支持企业级部署。

FeaturedTweet#OpenAI#AWS#Amazon Bedrock#Codex#Enterprise AI英文
🧑‍⚖️Evaluating Deep Agents with LangSmith on AWS

Great deep dive blog with our friends at AWS on e...

🧑‍⚖️ Evaluating Deep Agents with LangSmith on AWS

Harrison Chase(@hwchase17)81 字 (约 1 分钟)
75

Harrison Chase and AWS co-publish a deep dive guide on evaluating DeepAgents using LangSmith, enabling observability and reliability for long-horizon AI systems through structured data points and evaluators.

入选理由:使用 LangSmith 设计结构化数据点,支持长周期代理行为追踪与调试。

FeaturedTweet#LangSmith#AWS#Deep Agents#AI Evaluation#MLOps英文
AgentWatch: Proactive AWS monitoring with ambient agents

AgentWatch: Proactive AWS Monitoring with Ambient Agents

AWS Machine Learning Blog2684 字 (约 11 分钟)
75

AgentWatch is an active AWS resource monitoring solution that continuously observes and analyzes infrastructure, reducing the need for constant human intervention and improving DevOps team efficiency and proactive problem prevention.

入选理由:AgentWatch 每 15 分钟进行一次基础设施检查,汇总 CloudWatch 指标、日志和警报,并将 actionable 报告直接发送到 Slack。

FeaturedArticle#AWS#DevOps#Monitoring#AgentWatch#Ambient Agents中文
AWS MCP Server Reaches GA with Full API Coverage and IAM-Based Governance

AWS MCP Server has reached General Availability with full API coverage and IAM-based governance, enabling unified management across multi-cloud and hybrid environments.

入选理由:MCP Server GA 版本支持 100% API 覆盖,兼容主流云平台接口

FeaturedArticle#AWS#Multi-Cloud#API#IAM#Governance英文
What if you could just tell a robot what to do?

Sandhya Subramani from @awscloud is bringing a live...

What if you could just tell a robot what to do?

Qdrant(@qdrant_engine)87 字 (约 1 分钟)
45

This tweet is merely a promo for Vector Space Day, lacking technical depth on the embodied AI framework. An AWS engineer will demo an open-source agentic framework exposing hardware as programmable tools via hybrid search, but no architecture or code is provided.

入选理由:AWS工程师Sandhya Subramani将在Vector Space Day演示具身智能开源框架。

FeaturedTweet#Embodied AI#Agentic Framework#Qdrant#AWS英文
It’s here . . . We’ve lined up technical talks on vector search, AI memory, context engineering, or ...

Qdrant Announces Technical Conference Lineup

Qdrant(@qdrant_engine)96 字 (约 1 分钟)
35

This is a promotional message about a technical conference, announcing that Qdrant will host technical talks on vector search, AI memory, context engineering, and more.

入选理由:Qdrant将举办技术大会聚焦向量搜索和AI基础设施

FeaturedTweet#Vector Search#AI Conference#Tech Event#Qdrant#Technical Talks英文
AWS Replaces Fat-Tree Data Center Networks with Random Graph Theory, Cutting Routers by 69%

AWS leverages random graph theory to restructure data center networks, reducing router count by 69%, but specific technical details are unavailable due to missing article content.

入选理由:AWS采用随机图理论替代传统Fat-Tree拓扑优化数据中心网络架构。

FeaturedArticle#AWS#Data Center Network#Random Graph Theory#Network Architecture英文

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