Term | Definition |
---|---|
Large Language Model (LLM) | AI model trained on vast amounts of text data that can generate human-like text |
Embedding | Vector representation of text that captures semantic meaning |
Vector Database | Specialized database for storing and querying vector embeddings |
Retrieval-Augmented Generation | Technique that enhances LLM outputs by retrieving relevant context |
Prompt Engineering | Process of designing effective prompts to guide LLM behavior |
Fine-tuning | Process of adapting a pre-trained model to specific tasks or domains |