Articles
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1 month ago |
infoq.com | Eran Stiller
Apollo GraphQL recently launched its MCP Server, enabling businesses to securely and efficiently integrate AI agents with existing APIs using GraphQL. The platform empowers teams to scale innovation and drive faster time-to-value from AI investments by reducing development overhead, improving governance, and accelerating AI feature delivery.
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1 month ago |
infoq.com | Eran Stiller
Uber recently described a GenAI-powered invoice processing system that reduced manual effort by 2x, cut handling time by 70%, and delivered 25–30% cost savings. By leveraging GPT-4 and a modular platform called TextSense, Uber improved data accuracy by 90%, enabling globally scalable, efficient, and highly automated financial operations.
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2 months ago |
infoq.com | Thomas Betts |Sarah Wells |Eran Stiller |Daniel Bryant
As large language models (LLMs) have become widely adopted, AI-related innovation is now focusing on finely-tuned small language models and agentic AI. Retrieval-augmented generation (RAG) is being adopted as a common technique to improve the results from LLMs. Architects are designing systems so they can more easily accommodate RAG. Architects need to consider AI-assisted development tools, making sure they increase efficiency without decreasing quality.
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2 months ago |
infoq.com | Thomas Betts |Eran Stiller |Daniel Bryant |Sarah Wells
The panel discussion in this episode is one half of the annual InfoQ Architecture and Design Trends Report. The other half is the written report. One of the regular features of InfoQ are the trends reports, which each focus on a different aspect of software development. These reports provide the InfoQ readers with a high-level overview of the topics to pay attention to this year, and also help the editorial team focus on innovative technologies across all the content on InfoQ.
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2 months ago |
infoq.com | Eran Stiller
原文リンク(2025-03-20) Daprは最近、大規模言語モデル（LLM）を使用してスケーラブルでレジリエントなAIエージェントを構築するためのフレームワークDapr Agentsを発表した。Dapr Agentsは、Daprのセキュリティ、オブザーバビリティ、クラウドニュートラルなアーキテクチャを活用し、構造化されたワークフロー、マルチエージェント連携、イベント駆動型の実行が可能だ。企業向けに設計されており、数千のエージェントをサポートし、データベースと統合し、堅牢なオーケストレーションとメッセージングによって信頼性を確保する。 DaprをベースにしたDapr Agentsは、LLMを使用して推論、行動、コラボレーションができるAIエージェントを開発するためのフレームワークを提供する。Dapr Agentsは信頼性、スケーラビリティ、オブザーバビリティを提供し、シングルコアで数千のエージェントをサポートし、Kubernetes上でネイティブに実行される。著者のMark Fussel氏、Yaron Schneider氏、Roberto Rodriguez氏は、Dapr...
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