Python implementation of a RNN for text synthesis

Vertex AI powered personal assistant to quickly plan a productive schedule for your day.

TWEET genERATOR. Train a Neural Network to generate tweets.

Simplify OpenAI API integration with a user-friendly wrapper... Created at https://coslynx.com

🎯 Optimize retrieval with TriStage-RAG, a 3-stage pipeline that enhances document discovery while overcoming the limits of single-vector embeddings.

Creating a Markov model for text generation based on Dracula's first few chapters.

Custom LSTM based text generator for SOP

Chat Message Generation using Character RNN - example model trained on Plato's Euthyphro

Exploring techniques for controlled table-to-text generation

This repository contains the final project in the course Language Analytics which is a part of the elective Cultural Data Science at Aarhus University. In this final project two text-generators producing dad-jokes are compared, namely a finetuned and pretrained GPT-2 and a simple RNN.

A Text Generation AI made with Tensorflow

Text Generation Interference example in Windows (docker, WSL is needed)

Text generation app using `google/flan-t5-small` model

A Python program queries multiple LLMs with the same prompt, then uses their combined output to generate a single, refined answer via another LLM.

🤖📸 LLM-based educator bot for the video technology course

This project demonstrates how to build, train, and deploy a deep learning model for next-word prediction. The model uses a Long Short-Term Memory (LSTM) network, a type of Recurrent Neural Network (RNN), trained on the text of Jane Austen's Emma. An interactive web application is provided using Streamlit to showcase the model's predictions.

Load GPT-2 checkpoint and generate texts

Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts