
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 · What are Large Language Models (LLMs)? A large language model is a type of artificial intelligence algorithm that applies neural network techniques with lots of parameters to process and understand human languages or text using self-supervised learning techniques.
What are Large Language Models? | A Comprehensive LLMs Guide
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.
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...
What are large language models (LLMs)? - IBM
Large language models (LLMs) are a category of foundation models trained on immense amounts of data making them capable of understanding and generating natural language and other types of content to perform a wide range of tasks.
What are LLMs, and how are they used in generative AI?
Feb 7, 2024 · Large language models are the algorithmic basis for chatbots like OpenAI's ChatGPT and Google's Bard. The technology is tied back to billions — even trillions — of parameters that can make...
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. Explore all about LLMs solutions.
Large language model | Definition, History, & Facts | Britannica
6 days ago · large language model (LLM), a deep-learning algorithm that uses massive amounts of parameters and training data to understand and predict text. This generative artificial intelligence -based model can perform a variety of natural language processing tasks outside of simple text generation, including revising and translating content.
Large Language Models (LLMs): Types, Examples - Data Analytics
Jan 31, 2024 · Large language models (LLMs) are called “large” because they are pre-trained with a large number of parameters (100M+) on large corpora of text to process/understand and generate natural language text for a wide variety of NLP tasks.
What Are Large Language Models Used For? - NVIDIA Blog
Jan 26, 2023 · A large language model, or LLM, is a deep learning algorithm that can recognize, summarize, translate, predict and generate text and other forms of content based on knowledge gained from massive datasets.