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The training compute of notable large AI models in FLOPs vs publication date over the period 2017-2024. The majority of large models are language models or multimodal models with language capacity. Before 2017, there were a few language models that were large as compared to capacities then available.
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. This page lists notable large language models.
Llama (Large Language Model Meta AI, formerly stylized as LLaMA) is a family of large language models (LLMs) released by Meta AI starting in February 2023. [2] [3] The latest version is Llama 3.3, released in December 2024. [4] Llama models are trained at different parameter sizes, ranging between 1B and 405B. [5]
Many large language models such as GPT-2, GPT-3, GPT-4, AlbertAGPT, Claude, BERT, XLNet, RoBERTa and ChatGPT demonstrate the ability of transformers to perform a wide variety of NLP-related subtasks and their related real-world applications, including: machine translation; time series prediction; document summarization; document generation
A February 2025 report by Palisades research shows that AI reasoning models lack a moral compass. They will cheat to achieve their goals. So-called Large Language Models (LLMs) will misrepresent ...
While large language models (colloquially termed "AI chatbots" in some contexts) can be very useful, machine-generated text—much like human-created text—can contain errors or flaws, or be outright useless.