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Multimodal AI for classifying PDFs into data security classifications with page citations using a Dynamic Prompt Tree + lightweight kimi-k2-instruct SLM with a HITL workflow to increase accuracy.
Driving innovation for Toyota: A platform using Next.js, Postgres, Docker, and Arize AI tools to deliver traceable, high-quality insights—constantly improving beyond expectations.
Cropland area data is invaluable, yet not available for all countries. Using data from the USDA, this segmentation model generates masks that describe the crop landscape given satellite imagery.
Our project is a like mix between Gartic Phone, Reverse Pictionary and Clue. We've combined all the best parts of those games and incorporated an openAI element to it for some extra flare.
Takes in user preferences, and spits out carefully selected travel ideas, specifically for their interests.
