TaskPuppyKreationsAI TPAI for short, is dedicated to curating high-quality datasets and building robust tools for training local LLMs. Our mission is to leverage technical precision and literal interpretation to help train AI models that are more inclusive, accurate, and logically sound.
We apply a "measure twice, cut once" philosophy to AI data. By focusing on strict pattern recognition and identifying subtle inconsistencies or logical glitches that are often overlooked, we ensure that the data feeding into local models is structurally sound from the very beginning.
We thrive in asynchronous, task-based environments. We believe in clear visuals, meticulous tracking, and objective data analysis to push the boundaries of what local open-source models can achieve.
Feel free to explore our datasets here or contribute to the pipeline on GitHub!