Complete glossary of AI terms explained simply.
An autonomous program powered by an LLM that can plan, make decisions, use tools, and complete tasks without constant human oversight.
A numerical vector representation of text that preserves semantic meaning — similar texts have nearby vectors.
The process of further training a pre-trained model on a specialized dataset to improve its performance in a specific domain.
When an AI model generates confident-sounding but factually incorrect or fabricated information.
A neural network trained on vast amounts of text data that can generate, understand, and analyze natural language text.
An open standard by Anthropic for connecting AI models to external data sources and tools.
The art and science of crafting instructions for AI models to get optimal results.
A technique that improves LLM responses by adding relevant information from external sources before generating an answer.
The smallest unit of text processed by a language model. Roughly 1 token equals 4 characters in English or about 3/4 of a word.
