📑 Get your Taylor Swift LSTM generated lyrics.

Python implementation of a RNN for text synthesis

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

Attempting to use a GAN to generate random sentences

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

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

Implement simple text generation using different decoding methods (greedy search and beam search) with Transformers.

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