What are the differences between various memory models in AI?

What are the differences between various memory models in AI?

There are several memory models in AI, including short-term memory, long-term memory, and working memory. Each serves different purposes.

Can you explain how short-term memory works in AI?

Short-term memory in AI temporarily holds information for immediate tasks, similar to human short-term memory, allowing quick access.

What about long-term memory? How is it different?

Long-term memory stores information over extended periods, enabling the AI to learn and recall knowledge beyond immediate tasks.

Are there any specific models that utilize these memory types?

Yes, models like LSTMs (Long Short-Term Memory) and Transformers utilize these memory types to enhance learning and context retention.