Hallucination minimization
The reduction of false, inaccurate, or nonsensical outputs within large-language-models (LLMs).
Key Mechanisms
- Grounding: Limiting the model’s response generation to a specific, verifiable “source of truth” to ensure accuracy.
- retrieval-augmented-generation-rag: Supplying relevant, external context to the model during the inference process to prevent invention of facts.
Implementation via Tooling
- notebooklm: Achieves minimization by grounding responses in specific user-uploaded sources, including PDFs, google-docs, Slides, Audio, and URLs.
Backlinks:
- 2026 04 14 NotebookLM 2026 Grace Leung channel
Source Notes
- 2026-04-14: “But OpenClaw is expensive…”