What is the difference between retry patterns and fallback in AI?
Retry patterns involve attempting the same action again after a failure, while fallback strategies switch to an alternative method.
Can you give me an example of each?
Sure! A retry pattern might be trying to fetch data from a server multiple times if it fails. A fallback could be using cached data if the server is unreachable.
When should I use a retry pattern instead of a fallback?
Use a retry pattern when you expect the failure to be temporary. Fallbacks are better for when you anticipate a more permanent issue.
Are there any downsides to using these strategies?
Yes, retries can lead to increased load on systems, while fallbacks might provide outdated or less accurate information.
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