Category: Uncategorized

  • 시어스랩, AR글래스 콘텐츠 개발·유통 플랫폼 ‘스페이스기어’ 베타 출시

    지난 11일 생성형 AI 스마트 글래스 에이아이눈을 공개한 시어스랩이 AR글래스 콘텐츠 제작 및 유통 플랫폼 서비스 ‘스페이스기어(SpaceGear)’를 12월 23일 베타 버전으로 출시한다고 밝혔다. 회사에 따르면 이번 플랫폼은 국내 독자 기술력을 기반으로 개발된 통합 생태계로, 자체 SDK(Software Development Kit)와 콘텐츠 마켓플레이스를 포함한다. 시어스랩은 AR글래스 전용 소프트웨어 및 콘텐츠 개발 환경이 전무한 상태라고 진단하며, 다양한 테더링 방식을… Read more

  • ¿Cómo se fijará el precio de los agentes de IA? Los CIO deben prestar atención

    La inteligencia artificial (IA) agéntica, la alternativa más enfocada a la IA generativa de propósito general, está ganando impulso en la empresa, con Forrester habiéndola nombrado como una tecnología emergente superior para 2025 en junio. Desde entonces, varias organizaciones han empezado a utilizar esta tecnología, y grandes proveedores como Salesforce y ServiceNow han ofrecido agentes… Read more

  • Meet Moxin LLM 7B: A Fully Open-Source Language Model Developed in Accordance with the Model Openness Framework (MOF)

    The rapid development of Large Language Models (LLMs) has transformed natural language processing (NLP). Proprietary models like GPT-4 and Claude 3 have set high standards in terms of performance but often come with drawbacks such as high costs, limited accessibility, and opaque methodologies. Meanwhile, many so-called open-source models fail to fully embody the ideals of… Read more

  • How AI Models Learn to Solve Problems That Humans Can’t

    Natural Language processing uses large language models (LLMs) to enable applications such as language translation, sentiment analysis, speech recognition, and text summarization. These models depend on human feedback-based supervised data, but relying on unsupervised data becomes necessary as they surpass human capabilities. However, the issue of alignment arises as the models get more complex and… Read more

  • Scaling Language Model Evaluation: From Thousands to Millions of Tokens with BABILong

    Large Language Models (LLMs) and neural architectures have significantly advanced capabilities, particularly in processing longer contexts. These improvements have profound implications for various applications. Enhanced context handling enables models to generate more accurate and contextually relevant responses by utilizing comprehensive information. The expanded context capacity has significantly strengthened in-context learning capabilities, allowing models to utilize… Read more

  • 칼럼 | 공포, 불안, 음모론··· ‘드론 시대’에 오신 것을 환영합니다

    최근 뉴저지 주민 수천 명이 하늘에서 이상한 불빛을 목격했다고 신고하면서 각종 추측이 이어지고 있다. 수사를 요구하는 목소리도 높다. FBI와 국토안보부는 적외선 카메라와 드론 탐지 기술로 하늘을 감시하고 소셜 미디어에 올라온 아마추어 사진을 분석하고 있다. (FBI 관계자는 최근 기자들에게 5,000건에 가까운 제보를 받았지만 추가 조사가 필요한 것은 100건 미만이라고 밝혔다.) 대중은 이에 대한 답변을 요구하고 있으며,… Read more

  • Revolutionizing policing: Kazakhstan’s trailblazing Digital Policeman initiative

    In the era of digital transformation, public safety stands at a critical crossroads. Law enforcement agencies globally are under increasing scrutiny to enhance transparency, efficiency, and trust within their communities. Against this backdrop, Kazakhstan’s “Digital Policeman” initiative has emerged as a shining example of technological innovation in policing. The initiative leverages state-of-the-art technologies like smart… Read more

  • Patronus AI Open Sources Glider: A 3B State-of-the-Art Small Language Model (SLM) Judge

    Large Language Models (LLMs) play a vital role in many AI applications, ranging from text summarization to conversational AI. However, evaluating these models effectively remains a significant challenge. Human evaluations, while reliable, often suffer from inconsistency, high costs, and long turnaround times. Automated evaluation tools, particularly those that are closed-source, frequently lack transparency and fail… Read more

  • Meta AI Introduces ExploreToM: A Program-Guided Adversarial Data Generation Approach for Theory of Mind Reasoning

    Theory of Mind (ToM) is a foundational element of human social intelligence, enabling individuals to interpret and predict the mental states, intentions, and beliefs of others. This cognitive ability is essential for effective communication and collaboration, serving as a pillar for complex social interactions. Developing systems that emulate this reasoning in AI is crucial for… Read more

  • Slow Thinking with LLMs: Lessons from Imitation, Exploration, and Self-Improvement

    Reasoning systems such as o1 from OpenAI were recently introduced to solve complex tasks using slow-thinking processes. However, it is clear that large language models have limitations, as they cannot plan, break down problems, improve ideas, summarize, or rethink due to their training and methods. While these tools try to enhance reasoning, they depend on… Read more