Definition
The practice of reducing the number of tokens required to achieve a specific outcome with an LLM. This is critical for reducing latency, lowering costs, and staying within context window limits.
Why it matters (in Poovi’s context)
As a builder of production AI systems (e.g., lloyds_market_intelligence_digest), Poovi needs to optimize for performance and scale. Tools like graphify provide technical solutions to “context bloat.”
Key properties or components
- Context Management: Selective retrieval of relevant information.
- Compression: Representing complex structures in simpler formats (like a graph).
- Caching: Reusing pre-processed data.