What are the latest trends in Natural Language Processing?
Some of the latest trends in NLP include transformer models, few-shot learning, and advancements in conversational AI.
Can you explain what transformer models are?
Transformer models are a type of neural network architecture that uses self-attention mechanisms to process data, making them highly effective for NLP tasks.
How is few-shot learning changing NLP?
Few-shot learning allows models to learn from a small number of examples, which is crucial for tasks with limited labeled data.
What advancements have been made in conversational AI?
Recent advancements include improved context understanding, more natural responses, and better handling of ambiguous queries.
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