Evaluate AI by task outcomes, not explanations: multi-step completion metrics
goyalshaliniuk · x · 2026-10-13
Fragment of an eval-framework thread. Reasoning & task-completion evaluation checks whether the AI solves multi-step problems by looking at outcomes, not the model's own explanation — covering multi-step solving, planning, tool selection and final task success; best suited for agents, coding assistants and complex workflows. The linked fragment covers factuality & groundedness: verify claims, check citations, compare against source documents and detect unsupported statements — key for RAG apps and reducing hallucinations.
Related event: Evaluating AI: Instruction Following and Multi-Step Task Completion(2 posts)→
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