# Language Models (LLMs)

# Definition

Language models are AI systems trained to understand and generate human-like text. They are built using vast amounts of text data and learn patterns, context, and meaning.

# Examples

  • OpenAI’s GPT-4: An advanced generative model.
  • Google’s PaLM: Specialized for various tasks, including translation and summarization.
  • LLaMA, BLOOM: Open-source alternatives for specific use cases.

# Key Characteristics

  • Contextual Understanding: LLMs can process large chunks of text and generate meaningful responses.
  • Pretraining and Fine-tuning:
    • Pretraining: Learning general language patterns from massive datasets.
    • Fine-tuning: Adapting the model to specific domains like healthcare or legal.

# Applications

  • Chatbots, summarization, translation, content generation, etc.