Evaluating Abstractive Summarization (Chunk 7)
Evaluating using GPT-4
Here we implement an example reference-free text evaluator using gpt-4, inspired by the G-Eval framework which evaluates the quality of generated text using large language models. Unlike metrics like ROUGE or BERTScore that rely on comparison to reference summaries, the gpt-4 based evaluator assesses the quality of generated content based solely on the input prompt and text, without any ground truth references. This makes it applicable to new datasets and tasks where human references are sparse or unavailable.