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Mechanisms of the Ping-wei-san plus herbal decoction against Parkinson’s disease: Multiomics analyses

Autor: Ding Li, Hong-juan You, Guo-jie Hu, Ru-yong Yao, An-mu Xie, Xiao-yuan Li

Publikováno v: Frontiers in Nutrition, Vol 9 (2023)

IntroductionParkinson’s disease is a neurodegenerative disorder involving loss of dopaminergic neurons. Multiple studies implicate the microbiota-gut-brain axis in Parkinson’s disease pathophysiology. Ping-wei-san plus Herbal Decoction, a traditi

Externí odkaz: https://doaj.org/article/89d86628acac49219237552dc5789a8c

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Akademický článek

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MM-Embed: Universal Multimodal Retrieval with Multimodal LLMs

Autor: Lin, Sheng-Chieh, Lee, Chankyu, Shoeybi, Mohammad, Lin, Jimmy, Catanzaro, Bryan, Ping, Wei

State-of-the-art retrieval models typically address a straightforward search scenario, where retrieval tasks are fixed (e.g., finding a passage to answer a specific question) and only a single modality is supported for both queries and retrieved resu

Externí odkaz: http://arxiv.org/abs/2411.02571

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NVLM: Open Frontier-Class Multimodal LLMs

Autor: Dai, Wenliang, Lee, Nayeon, Wang, Boxin, Yang, Zhuolin, Liu, Zihan, Barker, Jon, Rintamaki, Tuomas, Shoeybi, Mohammad, Catanzaro, Bryan, Ping, Wei

We introduce NVLM 1.0, a family of frontier-class multimodal large language models (LLMs) that achieve state-of-the-art results on vision-language tasks, rivaling the leading proprietary models (e.g., GPT-4o) and open-access models (e.g., Llama 3-V 4

Externí odkaz: http://arxiv.org/abs/2409.11402

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ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities

Autor: Xu, Peng, Ping, Wei, Wu, Xianchao, Xu, Chejian, Liu, Zihan, Shoeybi, Mohammad, Catanzaro, Bryan

In this work, we introduce ChatQA 2, an Llama 3.0-based model with a 128K context window, designed to bridge the gap between open-source LLMs and leading proprietary models (e.g., GPT-4-Turbo) in long-context understanding and retrieval-augmented gen

Externí odkaz: http://arxiv.org/abs/2407.14482

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RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs

Autor: Yu, Yue, Ping, Wei, Liu, Zihan, Wang, Boxin, You, Jiaxuan, Zhang, Chao, Shoeybi, Mohammad, Catanzaro, Bryan

Large language models (LLMs) typically utilize the top-k contexts from a retriever in retrieval-augmented generation (RAG). In this work, we propose a novel instruction fine-tuning framework RankRAG, which instruction-tunes a single LLM for the dual

Externí odkaz: http://arxiv.org/abs/2407.02485

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Nemotron-4 340B Technical Report

Autor: Nvidia, Adler, Bo, Agarwal, Niket, Aithal, Ashwath, Anh, Dong H., Bhattacharya, Pallab, Brundyn, Annika, Casper, Jared, Catanzaro, Bryan, Clay, Sharon, Cohen, Jonathan, Das, Sirshak, Dattagupta, Ayush, Delalleau, Olivier, Derczynski, Leon, Dong, Yi, Egert, Daniel, Evans, Ellie, Ficek, Aleksander, Fridman, Denys, Ghosh, Shaona, Ginsburg, Boris, Gitman, Igor, Grzegorzek, Tomasz, Hero, Robert, Huang, Jining, Jawa, Vibhu, Jennings, Joseph, Jhunjhunwala, Aastha, Kamalu, John, Khan, Sadaf, Kuchaiev, Oleksii, LeGresley, Patrick, Li, Hui, Liu, Jiwei, Liu, Zihan, Long, Eileen, Mahabaleshwarkar, Ameya Sunil, Majumdar, Somshubra, Maki, James, Martinez, Miguel, de Melo, Maer Rodrigues, Moshkov, Ivan, Narayanan, Deepak, Narenthiran, Sean, Navarro, Jesus, Nguyen, Phong, Nitski, Osvald, Noroozi, Vahid, Nutheti, Guruprasad, Parisien, Christopher, Parmar, Jupinder, Patwary, Mostofa, Pawelec, Krzysztof, Ping, Wei, Prabhumoye, Shrimai, Roy, Rajarshi, Saar, Trisha, Sabavat, Vasanth Rao Naik, Satheesh, Sanjeev, Scowcroft, Jane Polak, Sewall, Jason, Shamis, Pavel, Shen, Gerald, Shoeybi, Mohammad, Sizer, Dave, Smelyanskiy, Misha, Soares, Felipe, Sreedhar, Makesh Narsimhan, Su, Dan, Subramanian, Sandeep, Sun, Shengyang, Toshniwal, Shubham, Wang, Hao, Wang, Zhilin, You, Jiaxuan, Zeng, Jiaqi, Zhang, Jimmy, Zhang, Jing, Zhang, Vivienne, Zhang, Yian, Zhu, Chen

We release the Nemotron-4 340B model family, including Nemotron-4-340B-Base, Nemotron-4-340B-Instruct, and Nemotron-4-340B-Reward. Our models are open access under the NVIDIA Open Model License Agreement, a permissive model license that allows distri

Externí odkaz: http://arxiv.org/abs/2406.11704

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X-VILA: Cross-Modality Alignment for Large Language Model

Autor: Ye, Hanrong, Huang, De-An, Lu, Yao, Yu, Zhiding, Ping, Wei, Tao, Andrew, Kautz, Jan, Han, Song, Xu, Dan, Molchanov, Pavlo, Yin, Hongxu

We introduce X-VILA, an omni-modality model designed to extend the capabilities of large language models (LLMs) by incorporating image, video, and audio modalities. By aligning modality-specific encoders with LLM inputs and diffusion decoders with LL

Externí odkaz: http://arxiv.org/abs/2405.19335

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