Prompt Engineering Optimization NLP Tools

Tools and techniques for automatically constructing, tuning, refining, and transferring prompts to improve language model performance across tasks. Includes prompt discovery, optimization, adaptation, and few-shot learning enhancement. Does NOT include general prompt templates, chatbot interfaces, or downstream task applications (e.g., sentiment analysis, classification) that don't focus on the prompt mechanism itself.

There are 13 prompt engineering optimization tools tracked. The highest-rated is debjitpaul/refiner at 49/100 with 74 stars.

Get all 13 projects as JSON

curl "https://pt-edge.onrender.com/api/v1/datasets/quality?domain=nlp&subcategory=prompt-engineering-optimization&limit=20"

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#	Tool	Score	Tier	Stars	Language
1	debjitpaul/refiner About The corresponding code from our paper " REFINER: Reasoning Feedback on...	49	Emerging	74	Python
2	THUDM/P-tuning A novel method to tune language models. Codes and datasets for paper ``GPT...	46	Emerging	938	Python
3	ZixuanKe/PyContinual PyContinual (An Easy and Extendible Framework for Continual Learning)	41	Emerging	325	Python
4	arazd/ProgressivePrompts Progressive Prompts: Continual Learning for Language Models	40	Emerging	98	Python
5	zjunlp/ContinueMKGC [IJCAI 2024] Continual Multimodal Knowledge Graph Construction	29	Experimental	67	Python
6	SALT-NLP/IDBR Codes for the paper: "Continual Learning for Text Classification with...	29	Experimental	44	Python
7	Nithin-Holla/MetaLifelongLanguage Repository containing code for the paper "Meta-Learning with Sparse...	29	Experimental	22	Python
8	ailab-prompt-transfer/qa_prompt_transfer Is Prompt Transfer Always Effective? An Empirical Study of Prompt Transfer...	14	Experimental	7	Python
9	Trenton281/LTX2EasyPrompt-LD Generate scene-aware prompts for text-to-video workflows with integrated...	14	Experimental	—	—
10	orionw/according-to Getting language models to quote from their pre-training data (EACL'24)	13	Experimental	5	Python
11	WebGao/Prompt-Learning Learning notes of Prompt.	13	Experimental	5	—
12	RistoAle97/ContinualNAT M.Sc. thesis on Continual Learning for Non-Autoregressive Neural Machine Translation	13	Experimental	6	Python
13	Rui0828/Learning-From-Mistakes-Prompting LoResMT@ACL 2024: Learning-From-Mistakes Prompting for Indigenous Language...	13	Experimental	5	Python