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Developer builds AI pipeline to generate exam questions from past papers

By PulseAugur Editorial · [1 sources] ·

A developer is building a system to generate exam questions from a school's past papers, using an LLM to extract and tag questions to learning objectives. The prototype involves splitting PDFs into sub-question items, generating new questions with a small model, and using a separate model to answer them as a check. The developer is seeking input on PDF extraction for scientific notation and tables, retrieval methods like pgvector, cost-effectiveness at scale for batch APIs and small models, and quality measurement approaches for AI-generated assessment items. AI

IMPACT This tool could streamline educational content creation and assessment, potentially improving learning outcomes through tailored practice materials.

RANK_REASON The cluster describes the development of a tool/pipeline for a specific application, not a core AI release or significant industry event.

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Developer builds AI pipeline to generate exam questions from past papers

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Tool
The cluster describes the development of a tool/pipeline for a specific application, not a core AI release or significant industry event.
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COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/SnooOpinions9858 ·

    Generating exam questions from a school’s own past papers: looking for a second opinion on the pipeline [D]

    <!-- SC_OFF --><div class="md"><p>Hi all,</p> <p>I’m building a question bank feature for a school platform (high school, mixed Cambridge + in-house curriculum). The idea: new questions are generated from the school’s own past papers. The curriculum’s learning objectives, which a…

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