All in One: Multi-task Prompting for Graph Neural Networks, KDD 2023.
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Updated
May 28, 2024 - Python
All in One: Multi-task Prompting for Graph Neural Networks, KDD 2023.
Create. Use. Share. ChatGPT prompts
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.
Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
[CVPR 2024] Official PyTorch Code for "PromptKD: Unsupervised Prompt Distillation for Vision-Language Models"
Official implementation for "UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction" (KDD 2024)
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
PyTorch implementation of 'A Decoupling Paradigm With Prompt Learning for Remote Sensing Image Change Captioning'
[WACV 2024] TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding
Awesome papers on Language-Model-as-a-Service (LMaaS)
[NeurIPS 2023] The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification
List of molecular design using Generative AI and Deep Learning
A curated list of awesome resources, tools, and other shiny things for GPT prompt engineering.
Code for our TMLR '24 Journal: MMD-Regularized UOT.
AAPL: Adding Attributes to Prompt Learning for Vision-Language Models (CVPRw 2024)
Official PyTorch implementation for Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior [AAAI 2024]
[IJCAI 2024] Continual Multimodal Knowledge Graph Construction
Archive of Prompt Engineering🚀
This repo includes Claude prompt curation to use Claude better.
A simple arbitrary smart contract order system. For practicing use of Enums, arrays, mappings and structs. From Lesson 5 of my prompt-learning journey into web3.
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