NExT-Chat is a large multimodal model trained using the pixel2emb method, in which the model outputs location embeddings decoded by different decoders. This allows bounding boxes and masks in multimodal conversations and supports tasks such as visual grounding, region caption and grounded reasoning.
XGBoost
XGBoost is a scalable, portable and distributed gradient boosting library. It supports multiple programming languages including Python, R, Java, Scala and C, and can run on single machines or distributed frameworks such as Hadoop, Spark, Dask, Flink and DataFlow.
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0NExT-Chat is a large multimodal model trained using the pixel2emb method, in which the model outputs location embeddings decoded by different decoders. This allows bounding boxes and masks in multimodal conversations and supports tasks such as visual grounding, region caption and grounded reasoning.
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Creator Website provides machine-learning models, research, training resources, or evaluation tools.
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