Create. Use. Share. ChatGPT prompts
-
Updated
Jul 17, 2024 - JavaScript
Create. Use. Share. ChatGPT prompts
[CVPR 2024] Official PyTorch Code for "PromptKD: Unsupervised Prompt Distillation for Vision-Language Models"
A curated list of prompt/adapter learning methods for vision-language models.
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.
we propose to generate a series of geometric shapes with target colors to disentangle (or peel off ) the target colors from the shapes. By jointly learning on multiple color-shape images, we found that the method can successfully disentangle the color and shape concepts.
A Unified Python Library for Graph Prompting
[ECCV 2024] - Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation
Official implementation for "UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction" (KDD 2024)
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
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
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.
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.
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.
[WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"
[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
Add a description, image, and links to the prompt-learning topic page so that developers can more easily learn about it.
To associate your repository with the prompt-learning topic, visit your repo's landing page and select "manage topics."