# 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.