What is the difference between attention and memory in AI?

What is the difference between attention and memory in AI?

Attention in AI refers to the mechanism that allows models to focus on specific parts of the input data, while memory refers to the ability to store and retrieve information over time.

Can you give me an example of how attention works?

Sure! In natural language processing, attention helps the model decide which words in a sentence are most relevant when generating a response.

How does memory play a role in AI models?

Memory allows AI models to retain information from previous interactions, enabling them to provide more contextually relevant responses.

Are attention and memory used together in AI?

Yes, many advanced AI models, like transformers, use both attention and memory to improve their performance on tasks like translation and summarization.