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- Multimodal Art Projection (M-A-P) is an open-source research community.
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- The community members are working on Artificial Intelligence-Generated Content (AIGC) topics, including text, audio, and vision modalities.
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- We aim to prompt open research on large language/music/multimodal models (LLMs/LMMs) training, data collection, and development of fun applications.
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- Welcome to join us!
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- - Organization page: https://m-a-p.ai
 
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  - [Discord Channel](https://discord.gg/qeRsjRdRHf)
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  - Our [Full Paper List](https://huggingface.co/collections/m-a-p/m-a-p-full-paper-list-65e070a694c7b01c5547fbff)
 
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  The development log of our Multimodal Art Projection (m-a-p) model family:
 
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  - πŸ”₯11/04/2024: MuPT [**paper**](https://arxiv.org/abs/2404.06393) and [**demo**](https://twitter.com/GeZhang86038849/status/1778089599035941279) are out. [**HF collection**](https://huggingface.co/collections/m-a-p/mupt-65a2cbcf895d1eca73b9f985).
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  - πŸ”₯08/04/2024: Chinese Tiny LLM is out. [**HF collection**](https://huggingface.co/collections/m-a-p/chinese-tiny-llm-660d0133dff6856f94ce0fc6).
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  - πŸ”₯28/02/2024: The release of [**ChatMusician**](https://huggingface.co/collections/m-a-p/chatmusician-65de07b3b87b189c2a588329)'s demo, code, model, data, and benchmark. πŸ˜†
 
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+ [Multimodal Art Projection (M-A-P)](https://m-a-p.ai)is an open-source AI research community.
 
 
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+ The community members are working on research topics in a wide range of spectrum, including but not limited to pre-training paradigm of foundation models, large-scale data collection and processing, and the derived applciations on coding, reasoning and music generation.
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+ The community is open to researchers keen on any relevant topic. Welcome to join us!
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  - [Discord Channel](https://discord.gg/qeRsjRdRHf)
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  - Our [Full Paper List](https://huggingface.co/collections/m-a-p/m-a-p-full-paper-list-65e070a694c7b01c5547fbff)
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+ - mail: contact@m-a-p.ai
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  The development log of our Multimodal Art Projection (m-a-p) model family:
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+ - πŸ”₯08/05/2024: We release the fully transparent large language model [MAP-Neo](https://github.com/multimodal-art-projection/MAP-NEO), series models for scaling law exploraltion and post-training alignment, and along with the training corpus [Matrix](https://huggingface.co/datasets/m-a-p/Matrix).
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  - πŸ”₯11/04/2024: MuPT [**paper**](https://arxiv.org/abs/2404.06393) and [**demo**](https://twitter.com/GeZhang86038849/status/1778089599035941279) are out. [**HF collection**](https://huggingface.co/collections/m-a-p/mupt-65a2cbcf895d1eca73b9f985).
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  - πŸ”₯08/04/2024: Chinese Tiny LLM is out. [**HF collection**](https://huggingface.co/collections/m-a-p/chinese-tiny-llm-660d0133dff6856f94ce0fc6).
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  - πŸ”₯28/02/2024: The release of [**ChatMusician**](https://huggingface.co/collections/m-a-p/chatmusician-65de07b3b87b189c2a588329)'s demo, code, model, data, and benchmark. πŸ˜†