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  • 18:59, 18 February 2025린 스타트업 (hist | edit) ‎[1,025 bytes]175.123.96.40 (talk) (속도,피드백,반복)
  • 20:34, 21 January 2025Apache Zookeeper (hist | edit) ‎[3,470 bytes]172.70.230.86 (talk) (Created page with "== Apache ZooKeeper == Apache ZooKeeper is an open-source, centralized service designed to manage configuration, naming, synchronization, and group services in distributed systems. It simplifies coordination and state management in large-scale distributed applications. === Overview === ZooKeeper provides a high-performance coordination service for distributed applications. It offers a simple and reliable mechanism to store shared configuration and state information. ==...")
  • 19:47, 21 January 2025Scala (Programming Language) (hist | edit) ‎[3,057 bytes]172.70.115.101 (talk) (Created page with "== Scala (Programming Language) == Scala is a high-level, statically typed programming language that integrates features of both object-oriented and functional programming. It is designed to address common criticisms of Java and improve developer productivity. === History === Scala was developed by Martin Odersky and was first released in 2003. It was created to provide a concise, scalable, and expressive language for the Java Virtual Machine (JVM). The name Scala stand...")
  • 12:11, 21 January 2025대통령 탄핵심판 2차 변론 중 대통령 측의 부정선거 주장에 대한 사실관계 설명 (hist | edit) ‎[18,880 bytes]172.71.222.108 (talk) (새 문서: <blockquote>아래 내용은 정부 공식 문서 내용입니다. 양식, 형태 조정 외 실질적인 내용 수정을 금합니다. (출처: 중앙선거관리위원회)</blockquote>중앙선관위는 1월 16일 대통령 탄핵심판 2차 변론 중 대통령 측의 부정선거 주장에 대하여 다음과 같이 정확한 사실관계를 설명드립니다. === 선거관리위원회 전산시스템 조작 주장 관련 === '''□ 국정원 확인 결과 선거관리시...) Tag: Visual edit
  • 13:56, 7 December 2024Neural Processing Unit (hist | edit) ‎[3,907 bytes]162.158.159.66 (talk) (새 문서: '''Neural Processing Unit (NPU)''' is a specialized hardware accelerator designed to perform computations for artificial intelligence (AI) and machine learning (ML) workloads, particularly neural network operations. NPUs are optimized for tasks like matrix multiplications and convolutional operations, which are central to deep learning models. == Key Features of NPUs == NPUs offer the following features: * '''High Performance:''' Accelerate AI computations, providing significan...)
  • 13:55, 7 December 2024Open Neural Network Exchange (hist | edit) ‎[3,972 bytes]162.158.159.65 (talk) (새 문서: '''ONNX (Open Neural Network Exchange)''' is an open-source format for representing machine learning models. It enables interoperability between different machine learning frameworks and tools, allowing developers to train models in one framework and deploy them in another. ONNX supports a wide range of machine learning and deep learning models. == Key Features of ONNX == * '''Interoperability:''' Facilitates seamless model transfer between frameworks like PyTorch, TensorFlow,...)
  • 13:54, 7 December 2024LM Studio (hist | edit) ‎[3,580 bytes]162.158.63.106 (talk) (새 문서: '''LM Studio''' is an advanced tool for developing, training, and deploying large language models (LLMs). It provides an integrated platform for researchers and developers to experiment with state-of-the-art natural language processing (NLP) models. LM Studio simplifies the process of handling large-scale datasets, configuring model architectures, and optimizing performance for various applications. ==Key Features== *'''Model Training:''' Enables training of large language model...) Tag: Visual edit: Switched
  • 13:52, 7 December 2024Lmstudio.js (hist | edit) ‎[3,792 bytes]162.158.158.113 (talk) (새 문서: '''lmstudio.js''' is a JavaScript library designed for building, managing, and deploying machine learning models directly within web browsers. It provides tools for creating lightweight machine learning applications, enabling client-side inference and integrating pre-trained models into web-based platforms. With its focus on usability and performance, lmstudio.js simplifies machine learning workflows for web developers. ==Key Features== *'''Client-Side Machine Learning:''' Perfo...) Tag: Visual edit
  • 16:58, 29 November 2024Waterfall Plot (hist | edit) ‎[3,421 bytes]162.158.63.105 (talk) (Created page with "'''Waterfall Plot''' is a data visualization technique used to represent sequential changes in the value of a variable, often to show the cumulative effect of positive and negative contributions over time or across categories. This plot is commonly used in fields like financial analysis, engineering, and data science to break down the components of a total change. == Overview == A waterfall plot displays data as a series of bars, where: * Each bar represents an individu...") Tag: Visual edit: Switched