Glossary

Tokenization is a crucial step in preparing data for AI systems, translating raw text into digestible ‘tokens’ for Large Language Models to understand and process.

Tracing is an essential approach in monitoring, debugging, and understanding LLM applications. It provides detailed snapshots for better comprehension of individual invocations or operations.

The Transformer Architecture is a revolutionary deep learning model that can comprehend and learn context and associations in sequential data like text or videos.