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Large language model - Wikipedia
A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation. LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text.
What is a Large Language Model (LLM) - GeeksforGeeks
Jan 22, 2025 · Large Language Models (LLMs) are advanced AI systems utilizing deep learning techniques to process and generate human language, with applications ranging from text generation to language translation, while facing challenges such as high training costs and environmental impact.
What are large language models (LLMs)? - IBM
Nov 2, 2023 · Large language models are AI systems capable of understanding and generating human language by processing vast amounts of text data.
Introduction to Large Language Models - Google Developers
Sep 6, 2024 · Define language models and large language models (LLMs). Define key LLM concepts, including Transformers and self-attention. Describe the costs and benefits of LLMs, along with common use cases.
Top 20 LLM (Large Language Models) - GeeksforGeeks
Apr 30, 2024 · Large Language Models (LLMs) have dramatically transformed natural language processing (NLP), excelling in tasks like text generation, translation, summarization, and question-answering. However, these models may not always be ideal for specific domains or tasks.
25 of the best large language models in 2025 - TechTarget
Jan 31, 2025 · Large language models are the dynamite behind the generative AI boom. However, they've been around for a while. LLMs are black box AI systems that use deep learning on extremely large datasets to understand and generate new text.
Large Language Models (LLMs): Types, Examples - Data Analytics
Jan 31, 2024 · Large language models (LLMs) are powerful tools for processing natural language data quickly and accurately with minimal human intervention. These LLMs can be used for a variety of tasks such as text generation, sentiment analysis, question-answering systems, automatic summarization, machine translation, document classification, and more.
What are Large Language Models? - NVIDIA
Large language models (LLMs) are deep learning algorithms that can recognize, summarize, translate, predict, and generate content using very large datasets.
A Review on Large Language Models: Architectures, Applications ...
Feb 13, 2024 · Large Language Models (LLMs) recently demonstrated extraordinary capability in various natural language processing (NLP) tasks including language translation, text generation, question answering, etc.
What are Large Language Models? | A Comprehensive LLMs Guide
What are large language models (LLMs)? A large language model (LLM) is a deep learning algorithm that can perform a variety of natural language processing (NLP) tasks. Large language models use transformer models and are trained using massive datasets — hence, large.
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