Meet GLiNER: A Generalist AI Model for Named Entity Recognition (NER) Using a Bidirectional Transformer

GLiNER is a compact NER model that uses a bidirectional transformer to extract named entities from text. It outperforms ChatGPT and fine-tuned LLMs in zero-shot scenarios and offers a balance between flexibility, performance, and resource efficiency.