Cancer Classification using Bottleneck Adapters
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Updated
Oct 28, 2022 - Python
Cancer Classification using Bottleneck Adapters
AI Prompt Engineering is a Streamlit app that allows users to experiment with different types of prompts for AI language models. The app provides a user-friendly interface for entering text or code and generating summarized or cleaned output.
Prompt Testing framework for LLMs (specifically OpenAI models). Compute NLP and Responsible AI metrics for each model-generated answer.
CVPR 2024: Robust Depth Enhancement via Polarization Prompt Fusion Tuning
The code for the paper "Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models" (ICCV'23).
Vision Prompt Tuning을 직접 구현하고, Full Fine Tuning과 비교해보았습니다.
AI-powered tool for effortless, high-quality results from simple prompts. No prompt engineering skills required.
[ICML 2024] Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts (Official Pytorch Implementation)
PyTorch Implementation of Attention Prompt Tuning: Parameter-Efficient Adaptation of Pre-Trained Models for Action Recognition
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.
Add time tags to interactive mode prompt and birthday reminders to Python startup.
This project focus on the overall overview of Large Language Models (LLMs) related concepts with case study. The case study focus on two types of dataset provided. As an outcome entity extraction with scoring will be expected. In this report the dataset and some features was listed.
Prompt Engineering Tool for AI Models with cli prompt or api usage
Official implementation of Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models (ICLR 2024 Spotlight)
Applied Deep Learning 深度學習之應用 by Vivian Chen 陳縕儂 at NTU CSIE
[Paper][Preprint 2024] Multi-domain Knowledge Graph Collaborative Pre-training and Prompt Tuning for Diverse Downstream Tasks
A Menu suggestion AI app. Provide the recipe link to the app and it will suggest recipe based on the serving and ingredients.
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.
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