Lilian Weng discusses harness engineering as a methodology for iterative self-improvement in AI systems, drawing parallels between evaluation frameworks and feedback loops. The post explores how structured assessment pipelines can be designed to continuously refine model capabilities.
Background
Lilian Weng is a prominent AI researcher known for her technical blog posts on machine learning and LLMs. This article continues her series on practical AI engineering methodologies.
- Source
- Hacker News (RSS)
- Published
- Aug 4, 2026 at 02:17 PM
- Score
- 7.0 / 10