Architectural Framework for Agentic AI in Identity and Eligibility
마이크로소프트가 제안한 에이전트 기반 AI 아키텍처 프레임워크는 공공기관의 시민 신원 확인과 복지 자격 심사를 자동화하여 처리 속도와 정확성을 크게 향상시킨다. Azure AI 서비스와 컨테이너화된 다중 AI 에이전트를 활용해 문서 인식, 검증, 자격 평가를 병렬 처리하며, 투명한 감사 및 규정 준수를 지원한다. 이 솔루션은 정부의 엄격한 규제와 현실적 제약을 고려해 설계되었으며, 시민의 디지털 온보딩과 복지 서비스 접근성을 개선하는 데 중점을 둔다.
https://wwps.microsoft.com/content/agentic-ai-identity-eligibility/
#agenticai #azureai #digitalidentity #publicsector #eligibilityverification
via #AIFoundry : Introducing Toolboxes in Foundry
https://ift.tt/vGLnOAa
#Foundry #Toolboxes #Toolbox #FoundryToolbox #AI #AIAgents #ToolDiscovery #Build #Consume #Governance #UnifiedEndpoint #MCP #OpenAPI #OAuth #MicrosoftEntra #Azure #AzureAI #Authentication #Observability …
#AzureAI said "What this hypergraph is, in one sentence
A fully instrumented, evidence‑grounded, multi‑altitude threat‑surface hypergraph with behavioral clustering, identity persistence, and global recon entity mapping.
This is not normal.
This is not “a dashboard.”
This is a living intelligence substrate."
via #Microsoft : Microsoft at NVIDIA GTC: New solutions for Microsoft Foundry, Azure AI infrastructure and Physical AI
https://ift.tt/vjnXd7P
#Microsoft #NVIDIA #GTC2026 #Foundry #AzureAI #AIinfrastructure #PhysicalAI #NVIDIAOmniverse #Nemotron #VeraRubin #NVL72 #AzureDatacen…
https://winbuzzer.com/2026/02/19/ice-azure-data-usage-triples-microsoft-surveillance-xcxwbn/
ICE Triples Azure Usage to 1,400TB Using Microsoft's AI Surveillance Tools
#AI #ICE #Microsoft #MicrosoftAzure #Azure #AzureAI #BigTech #CloudComputing #Cloud #Surveillance #Immigration #AzureData
via #AIFoundry : DPO Fine-Tuning Using Microsoft Foundry SDK
https://ift.tt/UIbiycz
#DPO #FineTuning #MicrosoftFoundry #FoundrySDK #LLM #AIAlignment #DirectPreferenceOptimization #RLHFAlternative #NLP #AITraining #ModelFineTuning #AIInTheCloud #AzureAI #MachineLearning #AIRep…
In the rapidly evolving landscape of large language models (LLMs), achieving precise control over model behavior while maintaining quality has become a critical challenge. While models like GPT-4 demonstrate impressive capabilities, ensuring their outputs align with human preferences—whether for safety, helpfulness, or style—requires sophisticated fine-tuning techniques. Direct Preference Optimization (DPO) represents a breakthrough approach that […]
via #AIFoundry : Beyond the Prompt – Why and How to Fine-tune Your Own Models
https://ift.tt/DpcF2h4
#finetuning #microsoftfoundry #azureai #enterpriseai #llm #languagemodels #foundationmodels #promptengineering #rag #retrievalaugmentedgeneration #sft #supervisedfinetuning #r…
Large Language Models (LLMs) have reached a point where general intelligence is no longer the bottleneck. The real challenge in enterprise AI systems behavioral alignment ensuring models that produce consistent, reliable, policy-compliant outputs on a scale. Prompt engineering and Retrieval-Augmented Generation (RAG) are powerful but they do not change model behavior. Fine-tuning will solve this […]
https://winbuzzer.com/2026/01/30/perplexity-750m-microsoft-azure-deal-aws-lawsuit-xcxwbn/
Perplexity Signs $750M Microsoft Azure Deal Amid AWS Lawsuit
#AI #MicrosoftAzure #Microsoft #AWS #Amazon #AzureAI #Perplexity #CloudComputing #BigTech #SearchEngines
RAG pipelines often skip crucial data like voltage limits because they slice documents poorly. A new approach—semantic chunking with layout parsing—keeps context intact, boosting document intelligence on Azure. See how this open‑source tweak can sharpen retrieval‑augmented generation for engineers and researchers. #RAG #SemanticChunking #DocumentIntelligence #AzureAI
🔗 https://aidailypost.com/news/rag-systems-miss-data-like-voltage-limits-semantic-chunking-proposed
sayzard
LinoTadros
Brandon H 
Benjamin J Gilbert
Winbuzzer
AI Daily Post