memprompt VS assistant

Quick Read: https://www.marktechpost.com/2022/12/18/allen-institute-for-artificial-intelligence-introduces-memprompt-a-new-method-to-fix-gpt-3-after-deployment-with-user-interaction/ Paper: https://arxiv.org/abs/2201.06009 Code: https://github.com/madaan/memprompt

It's already possible to get some of this effect with codex. The trick is to keep appending the interaction in the prompt (to maintain a memory of sorts).

For examples, you can replicate all the prompts here: https://twitter.com/yoavgo/status/1599200756631887872 with prompt + memory.

The notebook at https://github.com/madaan/memprompt/blob/main/YoavsPythonPro... shows a demo of this.

Some of these ideas were earlier discussed in our work on memory-assisted prompting [1].

[1] https://arxiv.org/pdf/2201.06009.pdf.

Code for https://arxiv.org/abs/2201.06009 found: https://github.com/madaan/memprompt

I just got it to install git and clone (the non existent) repo https://github.com/openai/assistant, and am now browsing it’s own interpretation of a repo with a lot of python code, including directories like “training”, “output”, “parsing” and with files with content like this:

  import json