Definition
Token limit defines the context window size constraint for large language models, restricting how much text can be analyzed or generated at once. This architectural boundary impacts memory management, retrieval strategies, and prompt engineering techniques. Exceeding this limit typically results in truncation errors or ignored context, necessitating chunking or summarization approaches to handle larger datasets effectively within the model’s operational capacity.
Summary
The maximum number of tokens an AI model can process in a single input or output sequence.
Key Concepts
- Context Window
- Truncation
- Prompt Engineering
- Memory Management
Use Cases
- Designing RAG systems
- Optimizing prompt length
- Handling long document processing