A common way to build an AI application is to give a language model as much context as possible and ask it to work out what matters.
That is not the only option.
Some information can exist as explicit rules, states, relationships, or consequences inside the software itself. The language model can then focus on the parts it is particularly good at, such as understanding and generating language.
That division of responsibility is central to how we think about AI at SkillSaige.
Next week, Sayre Blake will be exploring a broader version of that idea at the AI Practitioners Summit and asking what systems built around meaning rather than prompts alone might look like.
Registration is free, and anyone who attends Sayre’s session will get access to a special Q&A session after the talk.
