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| title: README | |
| emoji: π | |
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| # πΎ TaskPuppyKreationsAI | |
| **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. | |
| ## π― Our Philosophy | |
| 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. | |
| ## π οΈ Core Projects | |
| * **[AuditPup](https://github.com/TaskPuppyNatani/AuditPup.git):** An open-source auditing tool and data pipeline designed to rigorously evaluate, clean, and structure datasets before they are used to train local LLMs. | |
| * **Curated Datasets:** A growing collection of highly detailed, consistently formatted datasets ready for immediate use in model fine-tuning. | |
| ## π€ How We Work | |
| 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! | |