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구글, 추론 특화 AI 모델 ‘제미나이 2.0 FTE’ 공개
제미나이 2.0 FTE는 AI가 응답의 일부로 ‘사고 과정’을 생성하도록 학습된 실험용 모델이다. 기존 AI 모델과 달리 사고 모드를 통해 더 강력한 추론 기능을 제공할 수 있다. 구글 AI 스튜디오에서 이용 가능한 이 모델은 “멀티모달 이해, 추론, 코딩에 최적화되었으며, 프로그래밍, 수학, 물리학 등 다양한 분야의 복잡한 문제를 추론할 수 있다”고 공식 홈페이지에서 설명하고 있다. 구글의 AI…
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Repsol se adhiere al Pacto por la IA de la Unión Europea
Como ya viene siendo costumbre, la inteligencia artificial (IA) no ha dejado de copar titulares recientemente. La puerta abierta por parte de las autoridades europeas de permitir que se entrenen modelos de IA con datos personales sin el consentimiento explícito del propietario ha levantado ampollas. Un revuelo generado a partir de la publicación de un…
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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…
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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…
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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…
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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…
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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…
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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,…
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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…
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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…