Memorilla: Latent Semantic Memory for LLMs(arxiv.org)
70 pointsby handfuloflight5 hours ago3 comments
  • jkingsman4 hours ago
    So if I'm reading this right, it's basically a specialized embedding of a RAG, and then a model in the middle takes the agent's queries and returns responses in a form that is injecting into the main model's input token stream directly i.e. skipping actual text. And the injection format is INCREDIBLY token efficient. Sort of injecting a vibe rather than quotable text. Their results of "good on concepts, less good on quotes/exact text retrieval" seem to intuitively line up with that.
    • NaiveEmpiricist2 hours ago
      It looks like another difference with RAGs is that instead of reranking the doc vectors and taking the top 5 or so, this paper mixes all the docs (weighted by relevance) into a fixed number of "memory tokens".

      It looks like this helps avoid a problem I've had with RAG - when a fact isn't local to a single patch of text.

      • CharlieDigital42 minutes ago

            > ...a problem I've had with RAG - when a fact isn't local to a single patch of text
        Is this a problem, though? Vector similarity should surface the relevant, related patches.
    • johnshahbazian2 hours ago
      I think its offering a compromise between accuracy and tokens. You don't have to use as many tokens and you get pretty good accuracy, but not the absolute best. I think, however, in many situations people aren't super concerned about the tokens as they are with the accuracy.
  • bob102937 minutes ago
    I am finding that semantic ~= lexical when you have something like a frontier model driving. Using full text search engines is still the most compelling approach for handling large document sets.

    I really struggle with the semantic / embedding concerns when we have a generative model that can reverse engineer a Mario 64 rom dump to run on my toaster oven. These models know how to compose Lucene & other FTS query strings in such a way that we are effectively getting semantic search over purely lexical systems.

  • fiveapi_dev5 hours ago
    [flagged]