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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…
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A manager’s story of transforming decision-making and sales with AI-powered BI and analytics
As organizations struggle with the increasing volume, velocity, and complexity of data, having a comprehensive analytics and BI platform offers real solutions that address key challenges, such as data management and governance, predictive and prescriptive analytics, and democratization of insights. Dealing with these challenges requires a holistic approach with a comprehensive analytics platform and a…
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미 정부, TP-링크 공유기 사용 금지 검토 “공격 캠페인에 악용될 가능성”
미국 정부가 국가 안보 위험에 대한 우려로 미국 가정과 중소기업에 라우터의 약 65%를 공급하는 중국 기업 TP-링크를 조사하고 있다. 보고서에 따르면 이 제조사 라우터에는 사이버 범죄자들이 민감한 기업 데이터를 유출하기 위해 악용할 수 있는 취약점이 자리한다. 상무부, 국방부, 법무부의 조사에 따르면 해당 라우터가 이미 사이버 공격에 악용되었을 가능성이 있다. 월스트리트 저널에 따르면 이러한 위험이 확인되면…