Comment by semanticc

6 months ago

What's your suggested alternative?

In our internal system we use it "as-is" as an autocomplete system; query/lead into terms directly and see how it continues and what it associates with the lead you gave.

Also visualise the actual associative strength of each token generated to confer how "sure" the model is.

LLMs alone aren't the way to AGI or an individual you can talk to in natural language. They're a very good lossy compression over a dataset that you can query for associations.