Model chaining

Model chaining is a technique in which the output of one model is used as the input to another model. This can be a useful way to solve complex problems, as it allows you to break the problem down into smaller, more manageable pieces.

Model chaining is a key component of any successful AI strategy, as it can help to solve a wide range of problems.