AraT5: Text-to-Text Transformers for Arabic Language Understanding

Text to text with reinforcement learning

Extract the most viral clips from a random youtube video.

AI company, product, and tool collection.

This repository contains code and resources for abstractive text summarization (TS) using a novel framework that leverages knowledge-based word sense disambiguation (WSD) and semantic content generalization to enhance the performance of sequence-to-sequence (seq2seq) neural-based TS.

Chinese Grammar Error and Spelling Error Correction System - 中文文法錯誤及錯別字校正系統

Investigating the NLP classification tasks, text-to-text vs. text-to-indices.

A Dialogue Context Generator based on Text or Image

Generative AI version of the GeoGuesser game.

Repository for the paper "ViHateT5: Enhancing Hate Speech Detection in Vietnamese with A Unified Text-to-Text Transformer Model" (ACL'2024 - Findings)

Demonstration features of seamless-m4t-v2-large model

This application provides a user-friendly interface for interacting with a powerful generative AI model. Users can engage in natural language conversations, ask questions, receive creative text formats, and explore the capabilities of AI-driven dialogue.

This is AI chatbot platform made by nextjs and nodejs. AI Chatbot platform contains text-to-text, text-to-speech chatbot models. Let's create a new world with shinobi.

A Discord bot capable of fulfilling your artificial intelligence needs.

This project demonstrates the use of Transformers for text generation using the T5 model. The project includes the necessary code for training the model on a custom dataset and generating new text.

The objective is to extensively study the available deep learning solutions for the text to text translation problem using the French to English text dataset from hugging face.

Small Assistant IA like Amazon Echo or Siri (not usable)

Mô hình với nhiệm vụ dịch máy đơn giản English to Vietnamese

generative-ai

Llama-3.1-Nemotron-70B-Instruct is a large language model customized by NVIDIA in order to improve the helpfulness of LLM generated responses.