Information post-processing
You might know that the main way in which GenAI differs from previous forms of AI or analytics is that it generates new content efficiently. But did you know that that content is often in unstructured forms, for example, written text or images? When you see outputs that are nicely formatted, in bulleted lists, multiple fonts, and so on, it is a form of information post-processing.
Information post-processing refers to the series of steps taken after an AI model generates an initial response, but before that response is sent to the user. This crucial step enhances the output of GenAI models, refining raw responses to make them more useful, accurate, and contextually appropriate. It can take many forms, so this chapter will only discuss some of the most useful ones along with information on how to implement them:
- Fact-checking: Verifying the accuracy of the information provided. This can involve checking facts against reliable sources or databases...
