FeatUp VS LLMLingua

Compare FeatUp vs LLMLingua and see what are their differences.

FeatUp

Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024 (by mhamilton723)

LLMLingua

To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss. (by microsoft)
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FeatUp LLMLingua
1 3
1,056 3,880
- 16.3%
8.0 8.2
10 days ago 5 days ago
Jupyter Notebook Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

FeatUp

Posts with mentions or reviews of FeatUp. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-25.

LLMLingua

Posts with mentions or reviews of LLMLingua. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-25.

What are some alternatives?

When comparing FeatUp and LLMLingua you can also consider the following projects:

makeMoE - From scratch implementation of a sparse mixture of experts language model inspired by Andrej Karpathy's makemore :)

huh - Build terminal forms and prompts 🤷🏻‍♀️

Zolver - Automatic jigsaw puzzle solver

mergekit - Tools for merging pretrained large language models.

k3s - Lightweight Kubernetes

kubernetes-client - Java client for Kubernetes & OpenShift

spring-ai - An Application Framework for AI Engineering

microagents - Agents Capable of Self-Editing Their Prompts / Python Code