prompt-tuning

ChatGPT Lite is a feature-rich, self-hostable ChatGPT app. Built with Next.js. ChatGPT Lite 是一个功能完整、支持私有化部署的 ChatGPT 应用。基于 Next.js，开箱即用。

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

可同时输入多个初版提示词，开启多轮自动优化，连续得到高分后得到最终结果。

PyTorch code for "VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks" (CVPR2022)

We introduce new zero-shot prompting magic words that improves the reasoning ability of language models: panel discussion!

A unified, modular framework for prompt optimization

[ECCV 2022] Official Pytorch Implementation of the paper : " Zero-Shot Temporal Action Detection via Vision-Language Prompting "

[ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"

Promptdesk is a tool designed for effectively creating, organizing, and evaluating prompts and large language models (LLMs).

[NeurIPS 2023 Main Track] This is the repository for the paper titled "Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner"

[ICCV 2023 Oral, Best Paper Finalist] ITI-GEN: Inclusive Text-to-Image Generation

Открытая база знаний о нейросетях

A lightweight implementation of the GEPA (Genetic-Pareto) prompt optimization method for large language models.

Create the prompts you need to write your Novel using AI

[ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer

💬 Prompt Engineering: Patterns and Techniques

A pipeline for Prompt-tuning

Prompt Engineering for Language models (GPT-3, GPT-4, chatGPT) and text-to-image models (Stable Diffusion, Midjourney, Dall-e)

META LLAMA3 GENAI Real World UseCases End To End Implementation Guide

[CVPR 2025 Highlight] Meta LoRA / MetaPEFT: Meta-Learning Hyperparameters for Parameter-Efficient Fine-Tuning (LoRA, Adapter, Prompt Tuning) — Automatic hyperparameter optimization via bi-level meta-learning