Large language models evolved alongside deep-learning ... dimensionality and improving word predictions over a smoothed trigram model (then the state of the art) by 20% to 35%.

Probabilistic N-gram Model:** Train a trigram language model on the corpus using a library like NLTK (conceptual implementation). This model will capture word co-occurrence probabilities. - **Sequence ...

Given a sequence, this function should return a list of n-grams, where each n-gram is a Python tuple.

Taiwan’s Foxconn said on Monday it has launched its first large language model and plans to use the technology to improve ...

Llama has evolved beyond a simple language model into a multi-modal AI framework with safety features, code generation, and ...

Google DeepMind has released a new model, Gemini Robotics, that combines its best large language model with robotics. Plugging in the LLM seems to give robots the ability to be more dexterous, work ...

A common interest in language unites social scientists and natural language processing (NLP) researchers. While both fields leverage the strong connection between language and behavior, social ...

Google's Gemma 3 is multimodal, comes in four sizes and can now handle more information and instructions thanks to a larger context window.

Deepseek VL-2 is a sophisticated vision-language model designed to address complex multimodal tasks with remarkable efficiency and precision. Built on a new mixture of experts (MoE) architecture ...