Small language models (SLMs) or compact language models are artificial intelligence language models designed for human natural language processing including...

large language model (LLM) is a language model trained with self-supervised machine learning on a vast amount of text, designed for natural language processing...

Claude is a family of large language models developed by Anthropic. The first model was released in March 2023. The Claude 3 family, released in March...

Bidirectional encoder representations from transformers (BERT) is a language model introduced in October 2018 by researchers at Google. It learns to represent...

Reasoning language models (RLMs) are large language models that are trained further to solve tasks that take several steps of reasoning. They tend to do...

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...

Llama (Large Language Model Meta AI) is a family of large language models (LLMs) released by Meta AI starting in February 2023. The latest version is Llama...

Gemini is a family of multimodal large language models (LLMs) developed by Google DeepMind, and the successor to LaMDA and PaLM 2. Comprising Gemini Ultra...

The systems modeling language (SysML) is a general-purpose modeling language for systems engineering applications. It supports the specification, analysis...

is a series of large language models developed by Google AI introduced in 2019. Like the original Transformer model, T5 models are encoder-decoder Transformers...

The Unified Modeling Language (UML) is a general-purpose, object-oriented, visual modeling language that provides a way to visualize the architecture...

Language model benchmark is a standardized test designed to evaluate the performance of language model on various natural language processing tasks. These...

typically requires only fine-tuning on smaller, task-specific datasets. Early examples of foundation models are language models (LMs) like OpenAI's GPT series...

robot learning, a vision-language-action model (VLA) is a class of multimodal foundation models that integrates vision, language and actions. Given an input...

A generative pre-trained transformer (GPT) is a type of large language model (LLM) that is widely used in generative AI chatbots. GPTs are based on a deep...

PaLM (Pathways Language Model) is a 540 billion-parameter dense decoder-only transformer-based large language model (LLM) developed by Google AI. Researchers...

2023, it specializes in open-weight large language models (LLMs), with both open-source and proprietary AI models. The company is named after the mistral...

A cache language model is a type of statistical language model. These occur in the natural language processing subfield of computer science and assign...

optical projection Standard litre per minute, a unit Small language model, a small scale language model in generative artificial intelligence Š-L-M (Shin-Lamedh-Mem)...

A word n-gram language model is a purely statistical model of language. It has been superseded by recurrent neural network–based models, which have been...

startup focused on building large language models. These large language models (LLMs) are customised for Indian Languages and contexts. The company focuses...

software Economic model, a theoretical construct representing economic processes Language model, a probabilistic model of a natural language, used for speech...

variations have been widely adopted for training large language models (LLMs) on large (language) datasets. The modern version of the transformer was proposed...

intelligence (AI) model. A prompt is natural language text describing the task that an AI should perform. A prompt for a text-to-text language model can be a query...

Grounded Transformer (GGT-1) and Small Language Models (SLMs), which are customized to individual users' data. These models incorporate memory-stacking functions...

resources and time required for model training. With the "pretrain, then finetune" method used for most large language models, there are two kinds of training...

specification language for expressing complex structural constraints and behavior in a software system. Alloy provides a simple structural modeling tool based...

Emily M. Bender and colleagues in a 2021 paper, that frames large language models as systems that statistically mimic text without real understanding...

programming languages. Data models are often complemented by function models, especially in the context of enterprise models. A data model explicitly determines...

distillation or model distillation is the process of transferring knowledge from a large model to a smaller one. While large models (such as very deep...