공식 블로그

다양한 모델에 맞춰 딥 에이전트 조정하기

Tuning Deep Agents to Work Well with Different Models

Deep Agents was previously designed in a generic way to work well across model families. Today we’re adding model-specific profiles to adjust prompts, tools, and middleware. We shi…

Interrupt에서 공개한 모든 제품들

Everything we shipped at Interrupt

From autonomous debugging to one-line deploys, here's every product LangChain launched at Interrupt 2026 to help teams build, test, and ship agents in production.

Ettin Reranker 패밀리 소개

Introducing the Ettin Reranker Family

Co-Scientist: 세포 노화 연구 가속화 — Google DeepMind

Co-Scientist: Accelerating research on cellular aging — Google DeepMind

Biologists use Co-Scientist to find novel factors that successfully rejuvenate human cells.

PaddleOCR 3.5: Transformers 백엔드를 이용한 OCR 및 문서 파싱 작업

PaddleOCR 3.5: Running OCR and Document Parsing Tasks with a Transformers Backend

임포트 AI 457: AI 스턱스넷; 저주받은 뮤온 최적화기; 긍정적 정렬

Import AI 457: AI stuxnet; cursed Muon optimizer; and positive alignment

Welcome to Import AI, a newsletter about AI research.

Project Genie와 Street View로 실제 장소 시뮬레이션하기

Simulate real-world places with Project Genie and Street View

We’re expanding access to Google AI Ultra subscribers globally and introducing a new capability powered by Street View.

Gemini Omni 소개

Introducing Gemini Omni

Google Antigravity 2.0 소개

Introducing Google Antigravity 2.0

과학을 위한 Gemini: 새로운 발견 시대를 위한 AI 실험과 도구

Gemini for Science: AI experiments and tools for a new era of discovery

A collection of science tools and experiments to expand the scale and precision of scientific exploration.

콘텐츠가 어떻게 만들어지고 편집되었는지 더 쉽게 알 수 있도록

Making it easier to understand how content was created and edited

We're expanding our tools to help you understand how content was created and edited across the web.

LLM 아키텍처의 최근 발전: KV 공유, mHC, 그리고 압축된 어텐션

Recent Developments in LLM Architectures: KV Sharing, mHC, and Compressed Attention

From Gemma 4 to DeepSeek V4, How New Open-Weight LLMs Are Reducing Long-Context Costs

Google DeepMind과 싱가포르: 국가급 AI 파트너십 – Google DeepMind

Google DeepMind & Singapore: National AI partnership — Google DeepMind

Google DeepMind and Singapore partner to apply frontier AI to address complex challenges across health, education, and sustainability and more.

Co-Scientist: 감염병 연구 가속화 – Google DeepMind

Co-Scientist: Fast-tracking infectious disease research — Google DeepMind

Clare Bryant uses Co-Scientist to identify genetic triggers in emerging infectious diseases.

Co-Scientist: 노화의 신비를 풀어내기 – Google DeepMind

Co-Scientist: Untangling the mysteries of aging — Google DeepMind

Calico Life Sciences uses Co-Scientist to connect scattered findings and generate new leads in aging research.

Co-Scientist: 간 질환 연구의 혁신적 성과 — Google DeepMind

Co-Scientist: Enabling breakthroughs in liver disease research — Google DeepMind

Filippo Menolascina uses Co-Scientist to identify new liver disease treatments and explain why existing drugs only help certain patients.

Co-Scientist: ALS 연구 가속화를 위한 창의적 협력 주도 – Google DeepMind

Co-Scientist: Driving creative collaboration to accelerate ALS research — Google DeepMind

Co-Scientist unites Boston Children’s Hospital and MIT’s labs to explore new RNA-based treatments for ALS.

Co-Scientist: 간 섬유화의 새로운 치료법 발견 – Google DeepMind

Co-Scientist: Finding new treatments for liver fibrosis — Google DeepMind

Stanford geneticist uses Co-Scientist to help find new treatments for chronic liver disease and liver fibrosis.

Cerebras의 $60B IPO: 천천히, 그다음 한 번에 모두

[AINews] Cerebras' $60B IPO: Slowly, then All at Once

Congrats Big Chip!

WeatherNext가 국립 허리케인 센터의 자메이카 허리케인 멜리사 상륙 예측을 어떻게 개선했는가

How WeatherNext helped the National Hurricane Center better predict Hurricane Melissa’s historic landfall in Jamaica

Learn how our WeatherNext AI model help forecasters give communities unprecedented time to prepare ahead of the historic Hurricane Melissa.

우리는 SmithDB를 개발했습니다: 에이전트 옵저버빌리티를 위한 데이터 레이어

We built SmithDB, the data layer for agent observability

Introducing SmithDB: LangSmith's purpose-built distributed database for agent observability, delivering up to 12x faster performance with full portability.

LangSmith LLM 게이트웨이: 에이전트 생명주기에 내장된 런타임 거버넌스

LangSmith LLM Gateway: runtime governance built into the agent lifecycle

Introducing LangSmith LLM Gateway: runtime governance for AI agents with spend limits, PII redaction, and trace continuity, built directly into LangSmith.

모든 것이 컨덕터다 - Latent.Space

[AINews] Everything is Conductor - Latent.Space

an ultra quiet day lets us highlight a smaller trend.

Granite 임베딩 다국어 R2: Apache 2.0 오픈소스 32K 컨텍스트를 갖춘 다국어 임베딩 — 100M 이하 모델 중 최고의 검색 품질

Granite Embedding Multilingual R2: Open Apache 2.0 Multilingual Embeddings with 32K Context — Best Sub-100M Retrieval Quality

연속 배칭에서 비동기성 활성화

Unlocking asynchronicity in continuous batching

관리형 Deep 에이전트: 프로덕션 Deep 에이전트를 가장 빠르게 배포하는 방법

Managed Deep Agents: the fastest way to ship a production deep agent

Run deep agents in production with durable execution, sandboxes, tool access, and LangSmith observability, without building the runtime yourself. Now in private beta

LangSmith Context Hub 소개

Introducing LangSmith Context Hub

Introducing Context Hub in LangSmith: a central place to store, version, and collaborate on the files that shape how your AI agents behave.

Co-Scientist: 연구 가속화를 위한 멀티 에이전트 AI 파트너 – Google DeepMind

Co-Scientist: A multi-agent AI partner to accelerate research — Google DeepMind

Introducing Co-Scientist, a collaborative AI partner built with Gemini to help researchers accelerate scientific breakthroughs.

AWS에서 기초 모델 학습 및 추론을 위한 구성 요소

Building Blocks for Foundation Model Training and Inference on AWS

Import AI 456: RSI와 경제성장; AI 규제에 대한 급진적 선택지; 신경 컴퓨터

Import AI 456: RSI and economic growth; radical optionality for AI regulation; and a neural computer

What laws does superintelligence demand?