A simple 'ls' like utility to be used in pre-prompt in any shell.

This project explains "prompt engineering," a key technique for guiding AI models to desired outputs in tools like chatbots and text summarizers. It highlights the importance of clear instructions and techniques like CoT Prompting for effective communication with large language models. The project also introduces the Langchain library✨.

Vision Prompt Tuning을 직접 구현하고, Full Fine Tuning과 비교해보았습니다.

Unlock the Power of GPT3 and OpenAI with a Single Keyboard Shortcut

The OpenAI ChatGPT Prompt Generator is a JavaFX application designed to facilitate the generation of prompts for OpenAI's ChatGPT model. This tool allows users to create prompts for both code-related queries and text-based questions.

[2024 ACM MM] Official PyTorch implementation of the paper "Text-Region Matching for Multi-Label Image Recognition with Missing Labels"

[ICML 2024] Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts (Official Pytorch Implementation)

The code for the paper "Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models" (ICCV'23).

Fine-grained Retrieval Prompt Tuning

Prompt Testing framework for LLMs (specifically OpenAI models). Compute NLP and Responsible AI metrics for each model-generated answer.

This repo contains the code of concepts and projects i learnt from the course "LangChain & Vector Databases in Production", “Training and Fine-tuning LLMs for Production” and "Retrieval Augmented Generation for Production with LangChain & LlamaIndex"

CVPR 2024: Robust Depth Enhancement via Polarization Prompt Fusion Tuning

This repository is for the paper Lexical Substitution as Causal Language Modeling. In Proceedings of the 13th Joint Conference on Lexical and Computational Semantics (*SEM 2024), Mexico City, Mexico. Association for Computational Linguistics.

Chromium based extension with responsive side-panel UI, enhancing browsing experience by providing prompt-assisted search capabilities right within your browser. All the prompts are stored within the browser local storage

Improve Forward Transfer by Selectively Concatenating Prompts from Prior Tasks in Continual Learning

LLM-Personalized-Medicine

PyTorch Implementation of Attention Prompt Tuning: Parameter-Efficient Adaptation of Pre-Trained Models for Action Recognition

🖼️ Simple mini service and prompts that allows you to draw pictures in ChatGPT

handbook for learning agent