BOOKS - Large Language Models Concepts, Techniques and Applications
Large Language Models Concepts, Techniques and Applications - John Atkinson?Abutridy 2025 PDF CRC Press BOOKS
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Large Language Models Concepts, Techniques and Applications
Author: John Atkinson?Abutridy
Year: 2025
Format: PDF
File size: 10.15 MB
Language: ENG



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Large Language Models: Concepts, Techniques, and Applications Introduction The world we live in today is vastly different from the one our parents or grandparents grew up in. The rapid pace of technological advancements has transformed every aspect of our lives, from how we communicate and work to how we learn and access information. One of the most significant breakthroughs in recent years has been the development of large language models (LLMs), which have revolutionized the field of natural language processing (NLP). These models have enabled machines to understand and generate human-like language, opening up new possibilities for applications such as language translation, text summarization, and sentiment analysis. In this article, we will delve into the concepts, techniques, and applications of LLMs, exploring their potential to transform our world and the need for a personal paradigm to perceive the technological process of developing modern knowledge. Concepts At their core, LLMs are neural networks designed to handle large amounts of data and perform complex tasks related to natural language processing. These models are trained on vast amounts of text data, allowing them to learn patterns and relationships that humans may not be able to discern. This training enables LLMs to perform tasks such as language translation, sentiment analysis, and text generation with remarkable accuracy.
Большие языковые модели: концепции, методы и приложения Введение Мир, в котором мы живем сегодня, значительно отличается от того, в котором выросли наши родители или бабушки и дедушки. Быстрые темпы технологического прогресса изменили каждый аспект нашей жизни, от того, как мы общаемся и работаем, до того, как мы учимся и получаем доступ к информации. Одним из самых значительных прорывов последних лет стала разработка больших языковых моделей (LLM), которые произвели революцию в области обработки естественного языка (NLP). Эти модели позволили машинам понимать и генерировать человекоподобный язык, открывая новые возможности для таких приложений, как перевод языка, обобщение текста и анализ настроений. В этой статье мы углубимся в концепции, методы и применения LLM, исследуя их потенциал для трансформации нашего мира и необходимость личной парадигмы для восприятия технологического процесса развития современных знаний. Концепции По своей сути LLM представляют собой нейронные сети, предназначенные для обработки больших объемов данных и выполнения сложных задач, связанных с обработкой естественного языка. Эти модели обучены на огромном количестве текстовых данных, что позволяет им изучать закономерности и отношения, которые люди могут не различить. Этот тренинг позволяет LLM выполнять такие задачи, как перевод языка, анализ настроений и генерация текста с замечательной точностью.
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