Prompt Engineering Optimization Prompt Engineering Tools

There are 14 prompt engineering optimization tools tracked. The highest-rated is THUDM/P-tuning-v2 at 39/100 with 2,077 stars.

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# Tool Score Tier
1 THUDM/P-tuning-v2

An optimized deep prompt tuning strategy comparable to fine-tuning across...

39
Emerging
2 ucinlp/autoprompt

AutoPrompt: Automatic Prompt Construction for Masked Language Models.

39
Emerging
3 zjunlp/KnowPrompt

[WWW 2022] KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic...

38
Emerging
4 zjunlp/PromptKG

PromptKG Family: a Gallery of Prompt Learning & KG-related research works,...

37
Emerging
5 VE-FORBRYDERNE/mtj-softtuner

Create soft prompts for fairseq 13B dense, GPT-J-6B and GPT-Neo-2.7B for...

35
Emerging
6 princeton-nlp/OptiPrompt

[NAACL 2021] Factual Probing Is [MASK]: Learning vs. Learning to Recall...

35
Emerging
7 arazd/ResidualPrompts

Residual Prompt Tuning: a method for faster and better prompt tuning.

31
Emerging
8 thunlp/Prompt-Transferability

On Transferability of Prompt Tuning for Natural Language Processing

30
Emerging
9 jyjohnchoi/SMoP

The repository contains the code for our EMNLP 2023 paper "SMoP: Towards...

21
Experimental
10 PLUM-Lab/Incremental_Prompting

[COLING2022] Incremental Prompting: Episodic Memory Prompt for Lifelong...

21
Experimental
11 salesforce/Overture

Library for soft prompt tuning

19
Experimental
12 zwcolin/Domain-Robustness-Prompt-Tuning

Implementation of the report: on the domain robustness of prefix and prompt tuning

19
Experimental
13 yueyu1030/Patron

[ACL 2023] The code for our ACL'23 paper Cold-Start Data Selection for...

14
Experimental
14 zhenwang9102/coherence-boosting

Coherence boosting: When your pretrained language model is not paying enough...

12
Experimental