ProfessorFT
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README.md
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Model Merging and Training Process:
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Preparation Phase: Dataset Curation: The first step involved the meticulous selection of over 10,000 high-quality, realistic images. then refined to a 2,000 high-quality curated images. Each image was curated to represent a broad spectrum of scenarios, subjects, and lighting conditions. Annotation & Captioning: Using GPT-4 Vision, every image underwent ai captioning, resulting in detailed captions that encapsulated the essence of the content. Each caption highlighted various visual aspects like composition, subject, and context.
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made with love for
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aipowergrid.io
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Decentralized AI join the revolution
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Model Merging and Training Process:
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Preparation Phase: Dataset Curation: The first step involved the meticulous selection of over 10,000 high-quality, realistic images. then refined to a 2,000 high-quality curated images. Each image was curated to represent a broad spectrum of scenarios, subjects, and lighting conditions. Annotation & Captioning: Using GPT-4 Vision, every image underwent ai captioning, resulting in detailed captions that encapsulated the essence of the content. Each caption highlighted various visual aspects like composition, subject, and context.
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