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. The largest and most capable LLMs are generative pretrained transformers (GPTs).

2024年2月7日 · 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 them...

2025年1月22日 · 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.

2 天之前 · Explore the leaderboard and compare AI models by context window, speed, and price. Access benchmarks for LLMs like GPT-4o, Llama, o1, Gemini, and Claude.

2023年11月2日 · Large language models are AI systems capable of understanding and generating human language by processing vast amounts of text data.

2024年4月30日 · In this article, we explore about Top 20 LLM Models and get to know how each model has distinct features and applications. 1. GPT-4. As of 2024, OpenAI's GPT-4 stands out as the leading AI Large Language Model (LLM) in the market.

A large language model (LLM) is a statistical language model, trained on a massive amount of data, that can be used to generate and translate text and other content, and perform other...

2025年3月1日 · Large Language Models (LLMs) are advanced AI systems trained on vast amounts of text (and sometimes other data) to understand and generate human-like language. They use deep neural network architectures (often Transformers) with billions of parameters to predict and compose text in a coherent, context-aware manner.

2023年12月22日 · LLMs are AI systems used to model and process human language. They are called “large” because these types of models are normally made of hundreds of millions or even billions of parameters that define the model's behavior, which are pre-trained using a massive corpus of text data.

6 天之前 · JetBrains AI Assistant is now multimodel! This is an exciting development, but what does it actually mean for you? It means AI Assistant is now more adaptable. It combines the strengths of different AI models, from the deep reasoning of large ones to the speed of compact ones, and even the privacy of local ones.