The video discusses the practical application of few-shot learning in data labelling, known as few-shot labelling. The video introduces UBIAI's few-shot labelling capability, which integrates OpenAI's GPT-3 Davinci model with its annotation tool to support the few-shot NER tasks for unstructured and semi-structured documents. It provides examples of how the GPT model accurately predicts most entities with just a few in-context examples, making it an extremely powerful tool for various domains.

Few-shot learning is revolutionizing the document labelling process and augmenting the capabilities of human labellers.

Links:
UBIAI TOOL: https://ubiai.tools/


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#annotations #ner #gpt3 #fewshotlearning #ubiai #auto#labeling