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

Get all 9 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	Nithin-Holla/MetaLifelongLanguage Repository containing code for the paper "Meta-Learning with Sparse...	36	Emerging	22	Python
6	SALT-NLP/IDBR Codes for the paper: "Continual Learning for Text Classification with...	29	Experimental	44	Python
7	zjunlp/ContinueMKGC [IJCAI 2024] Continual Multimodal Knowledge Graph Construction	29	Experimental	67	Python
8	RistoAle97/ContinualNAT M.Sc. thesis on Continual Learning for Non-Autoregressive Neural Machine Translation	20	Experimental	6	Python
9	suzana-ilic/NLP-resources Getting started with NLP and LLMs	12	Experimental	3	—