microsoft / microsoft/LLMLingua

Experiments with Alphanumeric Entities

Open
#93 3 comments 0 reactions 1 assignee View on GitHub

@iofu728 is already working on this.

Since Feb 26, 2024.

question
Dominant language
Python
Stars
6.7k
Forks
428
Avg merge
2d 4h
Merged PRs (30d)
1

Description

Hi there! Thank you for the wonderful work done as this greatly reduced the memory overhead and increased inference time for my use case. I noticed that the prompt compression in some context that involves alphanumeric entities like car plate numbers and ID numbers causes them to be corrupted.

Are there any experiments that you have conducted with such entities or any optimisation techniques that can mitigate this issue that you can share please? I am currently using the prompt compression with default parameters.

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Assessment

This issue has not been assessed yet.

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.