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Large Language-and-Vision Assistant for BioMedicine, built towards multimodal GPT-4 level capabilities. - GitHub - microsoft/LLaVA-Med: Large Language-and-Vision Assistant for BioMedicine, built to...

☁️ 구름(KULLM): 고려대학교에서 개발한, 한국어에 특화된 LLM. Contribute to nlpai-lab/KULLM development by creating an account on GitHub.

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The first open source alternative to ChatGPT. 💪

We’ve trained a model to achieve a new state-of-the-art in mathematical problem solving by rewarding each correct step of reasoning (“process supervision”) instead of simply rewarding the correct final answer (“outcome supervision”). In addition to boosting performance relative to outcome supervisio…

800,000 step-level correctness labels on LLM solutions to MATH problems - GitHub - openai/prm800k: 800,000 step-level correctness labels on LLM solutions to MATH problems

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Official implementation of the paper "Segment Everything Everywhere All at Once" - GitHub - UX-Decoder/Segment-Everything-Everywhere-All-At-Once: Official implementation of the paper &quo...

Modern approaches typically formulate semantic segmentation as a per-pixelclassification task, while instance-level segmentation is handled with analternative mask classification. Our key insight: mask classification issufficiently general to solve both semantic- and instance-level segmentationt…

Image segmentation is about grouping pixels with different semantics, e.g.,category or instance membership, where each choice of semantics defines a task.While only the semantics of each task differ, current research focuses ondesigning specialized architectures for each task. We present Masked-a…

We present X-Decoder, a generalized decoding model that can predictpixel-level segmentation and language tokens seamlessly. X-Decodert takes asinput two types of queries: (i) generic non-semantic queries and (ii) semanticqueries induced from text inputs, to decode different pixel-level andtoken-…

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