Results for “variational-inference”

Extract false-positive and false-negative gaps from VLM binary-classification-question predictions by comparing model responses against ground truth, producing a structured JSONL file and summary report for downstream root-cause analysis.

Transforms lessons learned into domain-organized memory instructions that persist across VS Code contexts, with global and workspace scopes.

Write and review unit tests for Vue 3 + TypeScript + Vitest + Pinia codebases, covering components, composables, and stores with behavior-first assertions.