
Large language model - Wikipedia
LLM applications accessible to the public, like ChatGPT or Claude, typically incorporate safety measures designed to filter out harmful content. However, implementing these controls …
What is a large language model (LLM)? - TechTarget
Oct 20, 2025 · An LLM is the evolution of the language model concept in AI that dramatically expands the data used for training and inference. It increases AI model capabilities massively.
What is LLM? - Large Language Models Explained - AWS
Large language models, also known as LLMs, are very large deep learning models that are pre-trained on vast amounts of data. The underlying transformer is a set of neural networks that …
Introduction to large language models - Training | Microsoft Learn
Learn about large language models, their core concepts, the models that are available to use, and when to use them.
What is a Large Language Model (LLM) - GeeksforGeeks
Sep 18, 2025 · Large Language Models (LLMs) are advanced AI systems built on deep neural networks designed to process, understand and generate human-like text. By using massive …
What are LLMs, and how are they used in generative AI?
Feb 7, 2024 · In the simplest of terms, LLMs are next-word prediction engines. Along with OpenAI’s GPT-3 and 4 LLM, popular LLMs include open models such as Google’s LaMDA …
Large language model | Definition, History, & Facts | Britannica
6 days ago · A large language model (LLM) is a deep-learning algorithm that uses massive amounts of parameters and training data to understand and predict text.
What is an LLM (large language model)? - Cloudflare
In simpler terms, an LLM is a computer program that has been fed enough examples to be able to recognize and interpret human language or other types of complex data. Many LLMs are …
LLM Leaderboard 2025 - Complete AI Model Rankings
Comprehensive LLM leaderboard ranking all AI models with performance metrics, pricing, context windows, and benchmark scores. Compare models side-by-side.
LLM Research Papers: The 2025 List (July to December)
6 days ago · A curated list of LLM research papers from July–December 2025, organized by reasoning models, inference-time scaling, architectures, training efficiency, and diffusion.