Large Language Models

Large language models (LLMs) are deep learning algorithms that use transformer models to perform natural language processing (NLP) tasks

  • What they do

    LLMs can recognize, translate, predict, or generate text or other content. 

  • How they work

    LLMs are trained using massive datasets, which allows them to perform NLP tasks. 

  • What they're used for

    LLMs have many applications, including: 

    • Search engines 

    • Healthcare 

    • Robotics 

    • Code generation 

    • Customer service 

    • Life science research 

    • Financial services 

    • Legal services 

  • Examples

    Some examples of LLMs include: 

    • ChatGPT (from OpenAI) 

    • Bard (Google) 

    • Llama (Meta) 

    • Bing Chat (Microsoft) 

    • GitHub's Copilot