Show HN: Zagora, Distributed fine-tuning platform on mixed GPUs over internet (app.zagora.ai)

Zagora, a newly unveiled distributed fine-tuning platform, is designed to facilitate the training of lightweight QLoRA adapters across mixed GPU configurations over the internet. Utilizing Supervised Fine-Tuning (SFT), Zagora enables users to easily adapt machine learning models to their specific datasets, enhancing the accessibility and efficiency of model customization for varied applications. This platform holds significant implications for the AI/ML community by democratizing access to advanced model training capabilities, particularly for those with limited resources. By leveraging distributed processing, users can tap into the potential of heterogeneous GPU environments, thus reducing the time and cost typically associated with fine-tuning large models. Key technical features include enhanced data handling via structured prompts and responses, which optimize the fine-tuning process while maintaining performance. Overall, Zagora represents a step forward in making sophisticated AI training approaches more user-friendly and widely available.