GPT-For-NLG-Tasks

lignator (Latin for lumberjack) is a cli tool to generate structured but randomized outputs, great for things like log generation

Emotion-Aware Dialogue Response Generation by Multi-Task Learning

Workflow for literature character personality profiling 📚 which is solely relies on book content 📖

Unstructured Knowledge Access in Task-oriented Dialog Modeling using Language Inference, Knowledge Retrieval and Knowledge-Integrative Response Generation

Official implementation of the EMNLP 2023 paper "R2H: Building Multimodal Navigation Helpers that Respond to Help Requests"

✨ A powerful Node.js package for intelligent chat analysis with sentiment detection, intent classification, quality scoring, and automated response generation. ⭐

text-parsematch processes text input with pattern matching and retries to ensure structured, validated output for data extraction and content categorization.

[EMNLP 2023] Reinforced Target-driven Conversational Promotion

An ai I am working on

A production-ready conversational AI system built with React, TypeScript, and advanced NLP technologies. Features real-time voice interaction, multi-language support, and intelligent response generation.

Secure, menu-driven Rust API server with Axum, local JSON user auth, and structured logging.

🤖 Analyze chat interactions with AI for sentiment, intent detection, and optimized responses in Node.js applications.