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MinimalGPT is a concise, adaptable, and streamlined code framework that encompasses the essential components necessary for the construction, training, inference, and fine-tuning of the GPT model. This framework is implemented exclusively using Keras and TensorFlow, ensuring compatibility and coherence within the broader deep learning ecosystem.
DoME Experiment is a type of no-code tool, that implements a reference architecture for creating information systems from the automated evolution of the domain model, using NLP, Large Language Models and Self Adaptive Systems.
A terminal-based chat completion application built using OpenAI APIs with the GPT-3.5-turbo-instruct model. This project leverages advanced language models to provide intelligent and context-aware responses directly in the terminal, enabling seamless and interactive conversations
Repository for the LWDA'24 presentation on 'Psychometric Profiling of GPT Models for Bias Exploration', featuring conference materials including the poster, paper, slides, and references.