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[AINews] 마이크로소프트 빌드: MAI-Thinking-1과 MAI 패밀리 모델
[AINews] Microsoft Build: MAI-Thinking-1 and MAI Family models
Microsoft Build recap, and new MAI model technical details
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에이전트 개발 라이프사이클: AI 에이전트 구축, 테스트, 배포 및 모니터링 | LangChain
The Agent Development Lifecycle: Build, Test, Deploy & Monitor AI Agents | LangChain
Learn how leading engineering teams ship AI agents reliably and repeatedly using a four-phase agent development lifecycle: Build, Test, Deploy, and Monitor. Includes guidance on ev…
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Deep Agents v0.6의 새로운 기능
New in Deep Agents v0.6
Deep Agents 0.6 ships a code interpreter, harness profiles, streaming v3, delta channels, and ContextHub, making agents faster, cheaper, and more scalable.
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델타 채널: 장시간 실행 에이전트를 위한 런타임 진화
Delta Channels: How We’re Evolving our Runtime for Long-Running Agents
Long-running agents have a storage problem: checkpointing full state at every step grows at O(N²). DeltaChannel is a new primitive in LangGraph 1.2 that checkpoints only the diff e…
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법률 에이전트를 위한 효율적인 검증기 설계
Designing Efficient Verifiers for Legal Agents
A Harvey and LangChain Labs study on making LLM verifiers cheaper and more reliable for legal-agent evaluation and post-training.
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루브릭 소개: 자신의 작업을 평가하고 수정하는 에이전트 구축
Introducing Rubrics: Build Agents that Evaluate and Correct Their Work
Deep Agents' RubricMiddleware adds a self-evaluation loop to your agent runs. Set a rubric, configure a grader, and get reliable outputs on tasks where correctness matters.
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Holo3.1: 빠르고 로컬인 컴퓨터 사용 에이전트
Holo3.1: Fast & Local Computer Use Agents
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Rippling이 Deep Agents와 LangSmith로 6개월 만에 프로덕션 AI를 구축한 방법
How Rippling built production AI in 6 months with Deep Agents and LangSmith
Rippling uses LangChain Deep Agents and LangSmith to run cross-domain AI across HR, IT, finance, payroll, and global operations.
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구글이 Gemini와 기타 AI 제품으로 I/O 2026을 구축한 방법
How Google used Gemini and other AI products to build I/O 2026
A collage of I/O-related images, including the Antigravity Coffee Co. pop-up, a colorful jellyfish and a still from the Timmy TPU video. The word AI repeats three times on the left…
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Mellum2 소개: JetBrains의 12B Mixture-of-Experts 모델
Introducing Mellum2: A 12B Mixture-of-Experts Model by JetBrains
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LLM을 넘어서: 확장 가능한 엔터프라이즈 AI 도입이 에이전트 로직에 의존하는 이유
Beyond LLMs: Why Scalable Enterprise AI Adoption Depends on Agent Logic
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Import AI 459: AI 감시의 어려움, 단백질 폴딩 모델의 스케일링 법칙, AI 시스템의 멸종 위험 가격 책정
Import AI 459: AI oversight is difficult; scaling laws for protein folding models; and pricing the extinction risk of AI systems
Do you feel as though you are living in a revolution?
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NVIDIA Cosmos 3 환영합니다: 물리적 AI 추론 및 행동을 위한 첫 번째 오픈 옴니모델
Welcome NVIDIA Cosmos 3: The First Open Omni-model for Physical AI Reasoning and Action
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[AI뉴스] 창립자들과 포워드 배포 엔지니어
[AINews] Founders and Forward Deployed Engineers
a quiet day lets us highlight the new AIE WF focuses
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인터프리터 스킬: 에이전트를 위한 워크플로우 구축
Interpreter Skills: Building Workflows for Agents
Interpreter skills extend agent skills with a TypeScript module the agent can import and run. This lets you build more capable workflows with your agents.
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Google AI Studio에서 vibe coding한 I/O 2026 퀴즈 풀어보기
Take our I/O 2026 quiz, vibe coded in Google AI Studio.
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/IOQuiz2026_social.max-600x600.format-webp.webp" />We used Google AI Studio to vibe code a quiz about our t…
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제미니 옴니와 제미니 3.5 플래시의 구글 영상 9개
Watch 9 Google videos of Gemini Omni and Gemini 3.5 Flash
Gemini Omni & Gemini 3.5 hero
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워털루 대학교 학생들이 AI를 활용한 학습 도구 프로토타입 개발
Students prototype learning tools with AI at University of Waterloo
<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/FutureLabs_social.max-600x600.format-webp.webp" />University of Waterloo students develop AI prototypes li…
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[AINews] Anthropic이 Series H에서 9650억 달러 모금, Opus 4.8 및 Dynamic Workflows/ultracode 출시
[AINews] Anthropic raises $965B Series H, releases Opus 4.8 and Dynamic Workflows/ultracode
Total Anthropic victory!
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PyTorch 프로파일링 (1부): torch.profiler 초보자 가이드
Profiling in PyTorch (Part 1): A Beginner's Guide to torch.profiler
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LangSmith Engine 소개
Introducing Langsmith Engine
LangSmith Engine watches your production traces, clusters failures into named issues, and proposes targeted fixes and eval coverage. Stop manually triaging agent failures.
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LangSmith 샌드박스가 정식 출시되었습니다
LangSmith Sandboxes are Generally Available
Run AI agents safely with LangSmith Sandboxes (GA): kernel-isolated microVMs with snapshots, parallel forks, service URLs, and auth proxies. Built for coding agents, CI agents, and…
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LangSmith 엔진 구축 방법: 에이전트 개선을 위한 우리의 에이전트
https://www.langchain.com/blog/how-we-built-langsmith-engine-our-agent-for-improving-agents
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쿠버네티스 기반 자체 호스팅 LangSmith를 위한 미션 컨트롤
Mission Control for Self-Hosted LangSmith on Kubernetes
How Mission Control helps teams operate self-hosted LangSmith on Kubernetes with in-cluster config, preflight checks, health views, releases, and diagnostics.
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Google I/O 2026 주요 발표 및 업데이트 키노트 12개 영상 시청하기
Watch 12 Google I/O 2026 keynote videos of the top announcements and updates
The colorful I/O logo against a black background, surrounded by stills from the I/O keynote
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2026년 4월: LangChain 뉴스레터
April 2026: LangChain Newsletter
April means we're officially counting down to Interrupt. We’ve got two more meetups on the agent improvement loop before April officially closes out in New York and San Francisco. …
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프로덕션 에이전트 실패 수정: Interrupt 2026 회고 | LangChain 뉴스레터
Fixing agent failures in production: Interrupt 2026 recap | LangChain Newsletter
Recapping two days of Interrupt 2026 — LangSmith Engine, Sandboxes GA, LangChain Labs, and 23 talks from teams at LinkedIn, Rippling, Cisco, and more. Now on demand.
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[AINews] Cognition이 $26B 시리즈 D 펀딩라운드에서 $1B 조달
[AINews] Cognition raises $1B in $26B Series D
coding is an uncapped TAM market
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Lyft가 LangGraph와 LangSmith로 구축한 자체 서빙 AI 에이전트 플랫폼
How Lyft Built a Self-Serve AI Agent Platform with LangGraph and LangSmith
Lyft used LangGraph and LangSmith to build a self-serve AI agent platform for customer support, cutting agent development from months to weeks.