Anti-Narration in Harness Engineering
Harness pattern that forces verification before accepting fluent AI outputs as correct.
Harness pattern that forces verification before accepting fluent AI outputs as correct.
Foundational neural network architecture covering perceptrons, layers, activation functions, and backpropagation-based training.
Overview of SWE-bench and SWE-bench Pro, the real-world GitHub issue fixing benchmarks used to evaluate AI coding ability.
Using a language model to evaluate another model's outputs as a scalable proxy for human preference judgments.
A workflow checkpoint in harness engineering that enforces quality criteria before an agent's change can be merged or committed.
Definition and best practices for deterministic grading in LLM evaluation using code-based rules instead of model-in-the-loop judgment.
Explains how AI models maintain context across multiple exchanges using conversation history injection rather than internal memory.