AI Researchers from USC and Microsoft Propose UniversalNER: A New AI Model Trained with Targeted Distillation Recognizing 13k+ Entity Types and Outperforming ChatGPT’s NER Accuracy by 9% F1 on 43 Datasets
AI Sakana AI Introduces KAME: A Tandem Speech-to-Speech Architecture That Injects LLM Knowledge in Real Time
