Ais

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.