Praxisprojekt-ABAP-und-ChatGPT

by timkoehne · indexed from github

Benchmark to evaluate LLM performance in generating ABAP function modules

Diese Ausarbeitung zeigt dass ChatGPT nicht für die Codegenerierung in ABAP geeignet ist, es konnte nur 2.45% der 16400 Aufgaben lösen. Die Ergebnisse der Codegenerierung lassen sich durch Anpassungen der Parameter kaum verbessern. Wir vermuten das dies der Fall ist, da es zu wenig Trainingsdaten von ABAP-Code gibt. Die Version GPT-4 erzielte noch schlechtere Ergebnisse als die ältere Version GPT-3.5. ChatGPT eignet sich jedoch gut für Codeerklärungen und zum Verständnis von Code. Hier wurde der ABAP-Code in nahezu allen Testfällen korrekt erklärt.

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# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

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