Up tókànItọsọna atẹle
Abstractive vs Extractive Lakotan
Èdè AI
Èdè AI Itọsọna
Akopọ AI ṣẹda aṣoju kukuru ti awọn ohun elo orisun.
Gbọ si itọsọna yiiAI-ṣe afihan · ~2 min
Awọn ọna isediwon yan awọn ọrọ ti o wa tẹlẹ; awọn ọna abstractive ṣe agbejade ọrọ tuntun. Akopọ ti o dara ṣetọju awọn ẹtọ pataki, aidaniloju, ati awọn ibatan laisi fifi awọn otitọ ti orisun ko fi idi mulẹ.
Define what the summary is for. A decision brief, a meeting record, and an introductory overview should preserve different details. Specify the audience, length, and required fields before judging the output. Short is not automatically better if it remove essential conditions. Check coverage and factual consistency lọtọ. A summary can exactly describe one section while omitting the central result. It can also cover every topic while attributing a statement to the wrong person or reversing a qualification. Long documents may need staged processing, but summaries of summaries can lose context. Preserve links to original passages and maintain the difference between confirmed results, proposals, and commentary. For documents with tables, verify units, row labels, and footnotes instead of treating extracted text as a complete representation. Evaluate on realistic documents and score error types explicitly. Unsupported claims, omitted decisions, wrong quantities, and changed dates deserve separate attention. Give readers a route back to the source, and label any additional interpretation as analysis rather than part of the summary.
04Apẹẹrẹ ṣiṣẹ
Ninu akọsilẹ ipade kan, alabaṣepọ kan dabaa itusilẹ Ọjọ Jimọ. Ẹgbẹ naa pinnu lati ṣe idanwo miiran ṣaaju ki o to yan ọjọ kan.
Akopọ kan sọ pe "Ẹgbẹ naa fọwọsi itusilẹ Ọjọ Jimọ." Ṣe afihan eyi bi ipinnu ti ko ni atilẹyin.
Rọpo rẹ pẹlu "Ọjọ Jimọ ti a daba; ọjọ naa ko ni ipinnu titi de idanwo," ki o si tọju orisun orisun.
Ohun ti o fihan
Idaraya yii ṣayẹwo boya akopọ naa tọju ipo gangan ti ẹtọ kan.
Ṣe awọn ipinnu ipade pẹlu awọn oniwun ati awọn ọna atilẹyin.
Ṣe akopọ ijabọ kan lakoko ti o tọju awọn idiwọn ati awọn sipo ti iwadi naa.
Ìwé ìròyìn ọfẹ
Ìtàn AI mẹta tó jẹ́rìí ní gbogbo owurọ́ ọjọ́ iṣẹ́, kọ́wé ní Gẹ̀ẹ́sì tó rọrùn. Ọfẹ́ fún gbogbo àkókò, kò sí ìpolówó.
Ìmeèlì kan ní gbogbo ọjọ́ iṣẹ́. Yọkúrò ní ìkànìyàn ní ìkànìyàn kan. A kò ta tàbí pín àdírẹ́sì rẹ.
Ṣe idanwo fun ara rẹ
Ìdáhùn lẹ́sẹ̀kẹsẹ̀ lórí gbogbo ìdáhùn, àti iwe-ẹ̀rí tó lè pin pẹ̀lú ID tó lè jẹ́rìí lẹ́yìn tí o bá kọ́ ẹ̀kọ́.
Ṣe àtìlẹ́yìn ẹ̀kọ́ AI ọfẹ́. AI Understanding jẹ́ àjọ àìní èrè 501(c)(3) — kò sí ìpolówó, kò sí àkúnya owó, ní gbogbo àkókò. Ṣe ẹbun kan
Bẹẹni. Omitting ni ayika awọn afijẹẹri tabi yiyan ohun unrepresentative aye le yi awọn sami paapa nigba ti awọn sọ ọrọ ni o wa deede.
Tesiwaju kikọ
Awọn itọsọna diẹ sii ti a yan fun koko yii
Up tókànItọsọna atẹle
Abstractive vs Extractive Lakotan
Èdè AI