Prompt Engineering Optimization Prompt Engineering Tools
There are 23 prompt engineering optimization tools tracked. The highest-rated is THUDM/P-tuning-v2 at 46/100 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... |
|
Emerging |
| 2 |
ucinlp/autoprompt
AutoPrompt: Automatic Prompt Construction for Masked Language Models. |
|
Emerging |
| 3 |
zjunlp/KnowPrompt
[WWW 2022] KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic... |
|
Emerging |
| 4 |
zjunlp/PromptKG
PromptKG Family: a Gallery of Prompt Learning & KG-related research works,... |
|
Emerging |
| 5 |
princeton-nlp/OptiPrompt
[NAACL 2021] Factual Probing Is [MASK]: Learning vs. Learning to Recall... |
|
Emerging |
| 6 |
VE-FORBRYDERNE/mtj-softtuner
Create soft prompts for fairseq 13B dense, GPT-J-6B and GPT-Neo-2.7B for... |
|
Emerging |
| 7 |
arazd/ResidualPrompts
Residual Prompt Tuning: a method for faster and better prompt tuning. |
|
Emerging |
| 8 |
thunlp/Prompt-Transferability
On Transferability of Prompt Tuning for Natural Language Processing |
|
Emerging |
| 9 |
PLUM-Lab/Incremental_Prompting
[COLING2022] Incremental Prompting: Episodic Memory Prompt for Lifelong... |
|
Experimental |
| 10 |
jyjohnchoi/SMoP
The repository contains the code for our EMNLP 2023 paper "SMoP: Towards... |
|
Experimental |
| 11 |
salesforce/Overture
Library for soft prompt tuning |
|
Experimental |
| 12 |
zwcolin/Domain-Robustness-Prompt-Tuning
Implementation of the report: on the domain robustness of prefix and prompt tuning |
|
Experimental |
| 13 |
yueyu1030/Patron
[ACL 2023] The code for our ACL'23 paper Cold-Start Data Selection for... |
|
Experimental |
| 14 |
ailab-prompt-transfer/qa_prompt_transfer
Is Prompt Transfer Always Effective? An Empirical Study of Prompt Transfer... |
|
Experimental |
| 15 |
Rui0828/Learning-From-Mistakes-Prompting
LoResMT@ACL 2024: Learning-From-Mistakes Prompting for Indigenous Language... |
|
Experimental |
| 16 |
WebGao/Prompt-Learning
Learning notes of Prompt. |
|
Experimental |
| 17 |
orionw/according-to
Getting language models to quote from their pre-training data (EACL'24) |
|
Experimental |
| 18 |
zhenwang9102/coherence-boosting
Coherence boosting: When your pretrained language model is not paying enough... |
|
Experimental |
| 19 |
rz-zhang/PRBoost
The codes for our ACL'22 paper: PRBOOST: Prompt-Based Rule Discovery and... |
|
Experimental |
| 20 |
Trenton281/LTX2EasyPrompt-LD
Generate scene-aware prompts for text-to-video workflows with integrated... |
|
Experimental |
| 21 |
PromptStyler/PromptStyler.github.io
Project Page (PromptStyler, ICCV 2023) |
|
Experimental |
| 22 |
Soumya1612-Rasha/PromptRefine
[NAACL 2025] Official Repository for PromptRefine: Enhancing Few-Shot... |
|
Experimental |
| 23 |
dmesquita/spacy-llm-elegant-prompt-versioning
Elegant prompt versioning and LLM model configuration with spacy-llm |
|
Experimental |