Text Annotation for Large Language Model Training
The annotation work that produces capable large language models is different from the annotation work that produces capable NLP classifiers. Training a BERT-based sentiment classifier requires labeled examples of text and their correct sentiment labels. Training a capable, aligned language model requires annotation work that is harder to define, harder to execute consistently, and harder to...
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