For a given use-case, long term memory has a subtly different value proposition.
If I'm building a home assistant, I should be using NER to identify names and build an understanding of how they like to be spoken to in messages, or places and how they tend to be commuted to
If I'm building a CS bot, I should be identifying queries that resulted in extended exchanges, or led to a sudden abandoned cart
Summarization at the generic summarization level is enough for flashy demoes, but to build truly useful products right now you need to go a step further
For a given use-case, long term memory has a subtly different value proposition.
If I'm building a home assistant, I should be using NER to identify names and build an understanding of how they like to be spoken to in messages, or places and how they tend to be commuted to
If I'm building a CS bot, I should be identifying queries that resulted in extended exchanges, or led to a sudden abandoned cart
Summarization at the generic summarization level is enough for flashy demoes, but to build truly useful products right now you need to go a step further