Definition
In natural language processing, context is crucial for resolving ambiguity, such as understanding pronouns or idioms based on previous sentences. Modern architectures like transformers use attention mechanisms to weigh the importance of different parts of the input sequence. Providing sufficient context allows models to maintain coherence over long documents and adapt their outputs to specific user intents or situational constraints.
Summary
Context refers to the surrounding information or environment that helps an AI model interpret input data accurately and generate relevant responses.
Key Concepts
- Attention Mechanism
- Sequence Modeling
- Ambiguity Resolution
- Window Size
Use Cases
- Conversational chatbots
- Document summarization
- Code completion assistants