How can I implement context in NLP models?

How can I implement context in NLP models?

To implement context in NLP models, you can use techniques like attention mechanisms and transformers.

What are attention mechanisms?

Attention mechanisms allow models to focus on specific parts of the input sequence, improving understanding of context.

Can you explain transformers in simple terms?

Transformers are a type of model architecture that uses self-attention to process data in parallel, enhancing context handling.

What are some practical applications of context in NLP?

Practical applications include chatbots, translation services, and sentiment analysis, where understanding context is crucial.