An Open-Source Framework for Prompt-Learning.
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Updated
Jul 16, 2024 - Python
An Open-Source Framework for Prompt-Learning.
Must-read papers on prompt-based tuning for pre-trained language models.
Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
《面向开发者的 ChatGPT 提示词工程》非官方版中英双语字幕 Unofficial subtitles of "ChatGPT Prompt Engineering for Developers"
Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)
A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".
A curated list of awesome resources, tools, and other shiny things for GPT prompt engineering.
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.
List of molecular design using Generative AI and Deep Learning
This repo includes Claude prompt curation to use Claude better.
A curated list of prompt-based paper in computer vision and vision-language learning.
[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models
Create. Use. Share. ChatGPT prompts
pCLUE: 1000000+多任务提示学习数据集
A Unified Python Library for Graph Prompting
The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"
[ICLR 2023] Code for the paper "Binding Language Models in Symbolic Languages"
[WWW 2022] KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction
Awesome papers on Language-Model-as-a-Service (LMaaS)
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