It’s the same thing with using different models. A model that does the indexing may not be the same model you want to do the query, the query response, indexing, and summarizing. Indexing can happen in batches and should be very cost effective. But when someone asks a question, you want it to be in very natural, conversational language. Those could be two different model use cases, and figuring out which two models to use entails a certain amount of trial and error, pilot testing, and proof of concept.
To summarize, figure out what to deploy and how to deploy it. Start with governance, followed by business case, followed by proof of concept and testing, and then take baby steps to see what works.
AI tools as workplace differentiators
Sinoway is convinced that jobs won’t be replaced by AI. Instead, AI tools will be a differentiator in the workforce. KM professionals don’t need to know about weightings, transformers, or back propagation. They absolutely do need to know how to use these tools, how to put an effective prompt into the system, and, most importantly, how to use the output to be more effective.
KM professionals need to stay up-to-date because AI technologies are changing so fast. The tools you get familiar with today won’t be the leaders next week and certainly not next month. So staying on top of the developments and understanding how those developments apply to your specific function or area is going to be critical.