What are the current limitations of natural language processing (NLP) algorithms, and how are researchers working to overcome these challenges? Could you cite some recent advancements in this field?”

1. Why is explainability in AI models important, particularly in high-stakes domains like finance and healthcare? What techniques are currently being developed to enhance the interpretability of complex AI models, and what are the main challenges associated with these techniques? Could you provide examples of recent breakthroughs or case studies?