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This AI Paper Introduces GRPO-based Open-RS: A Low-Cost Reinforcement Learning Framework to Enhance Reasoning in Small Language Models
One particular focus on large language models has been improving their logical thinking and problem-solving skills. Reinforcement learning (RL) is increasingly used in this space for massive models and compact versions that can perform well in restricted computing environments. One major challenge in this field is improving a model’s reasoning capability without relying on extremely…
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Cómo hacer frente al cambio cultural de las metodologías ágiles
Un escaso cuarto de siglo ha pasado desde que un grupo de 17 programadores se reuniese en Utah para debatir sobre viejos y nuevos métodos de desarrollo de software. Un encuentro que sirvió para constatar un nuevo modelo de trabajo, bajo cuatro valores: individuos e interacciones sobre procesos y herramientas; software funcionando sobre documentación extensiva;…
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Understanding and Mitigating Failure Modes in LLM-Based Multi-Agent Systems
Despite the growing interest in Multi-Agent Systems (MAS), where multiple LLM-based agents collaborate on complex tasks, their performance gains remain limited compared to single-agent frameworks. While MASs are explored in software engineering, drug discovery, and scientific simulations, they often struggle with coordination inefficiencies, leading to high failure rates. These failures reveal key challenges, including task…
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DeepSeek AI Unveils DeepSeek-V3-0324: Blazing Fast Performance on Mac Studio, Heating Up the Competition with OpenAI
Artificial intelligence (AI) has made significant strides in recent years, yet challenges persist in achieving efficient, cost-effective, and high-performance models. Developing large language models (LLMs) often requires substantial computational resources and financial investment, which can be prohibitive for many organizations. Additionally, ensuring that these models possess strong reasoning capabilities and can be deployed effectively on…
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회의에도 참여하는 음성 비서··· 오터.ai, 음성 인식 AI 에이전트 출시
음성-텍스트 변환 서비스로 주로 알려진 오터.ai(Otter.ai)가 음성으로 활성화되는 AI 에이전트를 발표했다. 15일 출시된 ‘오터 미팅 에이전트’는 요청이 있을 때 활성화되고 받은 질문을 이해하며, 공개 웹이나 내부 문서에서 정보를 가져와 질문에 답변한다. 오터.ai는 이미 웹 인터페이스와 음성 메모를 텍스트로 변환하는 앱을 보유하고 있다. 메모의 요약을 생성하고 텍스트를 통해 시스템에 질문을 할 수 있도록 하는 앱이다. 새로운…
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칼럼 | 구글, 위즈 인수로 멀티클라우드 보안에 승부수 던지다
구글이 최근 클라우드 보안 스타트업 위즈를 인수하면서 멀티클라우드 시대의 복잡한 보안 문제에 선제적으로 대응할 수 있는 역량을 확보하게 됐다. 이번 통합으로 구글은 마이크로소프트(MS) 애저나 AWS 같은 주요 경쟁사를 넘어설 수 있는 기회를 마련했다. 구글은 이번 인수를 통해 복잡한 보안 아키텍처를 단순화하고, 서로 다른 클라우드 환경을 결합할 때 발생하는 보안 공백을 해소하겠다는 의지를 분명히 했다. 이번…
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Active Roles Wins 2025 Cybersecurity Excellence Award for Hybrid Active Directory Protection
One Identity, a leader in unified identity security, today announced that One Identity Active Roles has been named a winner in the Hybrid Active Directory Protection category of the 2025 Cybersecurity Excellence Awards. This recognition highlights One Identity’s ongoing commitment to providing robust identity management solutions that help organizations secure their hybrid Active Directory (AD) environments. The…
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Microsoft infuses enterprise agents with deep reasoning, unveils data Analyst agent that outsmarts competitors
Microsoft announced Tuesday two significant additions to its Copilot Studio platform: deep reasoning capabilities that enable agents to tackle complex problems through careful, methodical thinking, and agent flows that combine AI flexibility with deterministic business process automation.Read More
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Microsoft adds ‘deep reasoning’ Copilot AI for research and data analysis
Copilot AI agents After Google and OpenAI offered up AI news on Tuesday, Microsoft has followed with announcements of its own, including details of two “deep reasoning” agents for Microsoft 365 Copilot that it claims are the first of their kind, dubbed Researcher and Analyst, as well as new capabilities for custom AI agents. Researcher…