What are the two main goals of using prompt caching?	To speed up Clod's response and decrease the cost of text generation.
In a normal request without prompt caching, what happens to the internal calculations Clod performs on the input text after generating a response?	Clod throws away all the work and calculations.
What is the core problem that prompt caching aims to solve in follow-up requests?	Clod has to repeat all the heavy internal processing on the initial message because the previous work was discarded.
How does prompt caching handle the initial work done by Clod?	It caches or stores all the analysis and calculations in a temporary data store.
Under what condition can Clod reuse saved work from prompt caching?	When the exact same input user message is included in a subsequent request.
What is the primary benefit of reusing cached work during text generation?	It dramatically speeds up the process of generating text.
Before generating output, what intensive process does Clod perform internally on the input message?	It creates a tremendous number of internal data structures and performs numerous calculations.