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[Project Page](https://rlhf-v.github.io/) | [GitHub ](https://github.com/RLHF-V/RLHF-V) | [Demo](http://120.92.209.146:8081/) | [Paper](https://arxiv.org/abs/2312.00849)
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## News
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* [2024.05.20] π We introduce [RLAIF-V](https://github.com/RLHF-V/RLAIF-V), our new alignment framework that utilize open-source models for feedback generation and reach **super GPT-4V trustworthiness**. You can download the corresponding [dataset](https://huggingface.co/datasets/openbmb/RLAIF-V-Dataset) and models ([7B](https://huggingface.co/openbmb/RLAIF-V-7B), [12B](https://huggingface.co/openbmb/RLAIF-V-12B)) now!
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* [2024.04.11] π₯ Our data is used in [MiniCPM-V 2.0](https://huggingface.co/openbmb/MiniCPM-V-2), an **end-side** multimodal large language model that exhibits **comparable trustworthiness with GPT-4V**!
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[Project Page](https://rlhf-v.github.io/) | [GitHub ](https://github.com/RLHF-V/RLHF-V) | [Demo](http://120.92.209.146:8081/) | [Paper](https://arxiv.org/abs/2312.00849)
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## News
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* [2024.05.28] π Our RLAIF-V paper is accesible at [arxiv](https://arxiv.org/abs/2405.17220) now!
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* [2024.05.20] π We introduce [RLAIF-V](https://github.com/RLHF-V/RLAIF-V), our new alignment framework that utilize open-source models for feedback generation and reach **super GPT-4V trustworthiness**. You can download the corresponding [dataset](https://huggingface.co/datasets/openbmb/RLAIF-V-Dataset) and models ([7B](https://huggingface.co/openbmb/RLAIF-V-7B), [12B](https://huggingface.co/openbmb/RLAIF-V-12B)) now!
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* [2024.04.11] π₯ Our data is used in [MiniCPM-V 2.0](https://huggingface.co/openbmb/MiniCPM-V-2), an **end-side** multimodal large language model that exhibits **comparable trustworthiness with GPT-4V**!
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