Official implementation for "UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction" (KDD 2024)

A Unified Python Library for Graph Prompting

GeneticPromptLab uses genetic algorithms for automated prompt engineering (for LLMs), enhancing quality and diversity through iterative selection, crossover, and mutation, while efficiently exploring minimal yet diverse samples from the training set.

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.

LLM-Personalized-Medicine

Official implementation of CVPR 2024 paper "Prompt Learning via Meta-Regularization".

List of molecular design using Generative AI and Deep Learning

Cross-modal Reinforced Prompting for Graph and Language Tasks, KDD 2024.

[CVPR 2024] Official PyTorch Code for "PromptKD: Unsupervised Prompt Distillation for Vision-Language Models"

[WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"

In this repository I have explained the application of Large Language Models (LLMs). Starting from how to use LLMs in our own application till how to build a LLM.

A curated list of prompt learning methods for vision-language models.

[ACL 2023] The code for our ACL'23 paper Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach

[WACV 2024] TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding

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

PyTorch implementation of 'A Decoupling Paradigm With Prompt Learning for Remote Sensing Image Change Captioning'

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