Control summary detail without confusing length and quality

Published by OpenAI Cookbook

This credits the original publisher. Better Loop membership or a shared assessment is not implied.

The public work

OpenAI summarizes a Wikipedia article about artificial intelligence using different chunk counts and a detail parameter. The notebook prints summaries and their lengths, including a recursive variant that supplies earlier summaries as context.

What to notice

Choose the coverage you need before summarizing, then check omissions and repetition; a longer summary is not automatically more accurate.

Keep the context

The saved comparison establishes different output lengths, not audited factual accuracy or better decisions. Recursive output repeats material, and some code comments are stale. No workload or efficiency result was reproduced here.

AI use: Documented in the source.

The displayed summarization function uses gpt-4-turbo through the OpenAI API.

A useful public example is not an assessment of a reader, a publisher or a Better Loop member.

Authored practice suggestion

Try the idea.
Check your own work.

Use material you are allowed to work with. This suggestion is preparation; it does not record a completed task or an improvement.

A prompt to adapt privately

Choose a long public document and list the sections a useful summary must cover. Produce a short summary and a section-by-section version. Compare each against that checklist, remove repetition, and identify any important point neither version preserves.

A check to adapt

Required sections are represented accurately, repetition is removed, and omissions are identified rather than hidden by extra length.

Open a related practice brief

Private practice needs no account. Your configured model provider may process the evidence you select.

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