Results 11 to 20 of about 10,675,039 (377)

Intern VL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks [PDF]

Computer Vision and Pattern Recognition, 2023
The exponential growth of large language models (LLMs) has opened up numerous possibilities for multi-modal AGI systems. However, the progress in vision and vision-language foundation models, which are also critical elements of multi-modal AGI, has not ...
Zhe Chen, Jiannan Wu, Wenhai Wang, Weijie Su, Guo Chen, Sen Xing, Zhong Muyan, Qinglong Zhang, Xizhou Zhu, Lewei Lu, Bin Li, Ping Luo, Tong Lu, Yu Qiao, Jifeng Dai   +14 more
semanticscholar   +1 more source

Code Llama: Open Foundation Models for Code [PDF]

arXiv.org, 2023
We release Code Llama, a family of large language models for code based on Llama 2 providing state-of-the-art performance among open models, infilling capabilities, support for large input contexts, and zero-shot instruction following ability for ...
Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, Sten Sootla, Itai Gat, Xiaoqing Tan, Yossi Adi, Jingyu Liu, Tal Remez, J. Rapin, Artyom Kozhevnikov, I. Evtimov, Joanna Bitton, Manish P Bhatt, Cristian Canton Ferrer, Aaron Grattafiori, Wenhan Xiong, Alexandre D'efossez, Jade Copet, Faisal Azhar, Hugo Touvron, Louis Martin, Nicolas Usunier, Thomas Scialom, Gabriel Synnaeve   +24 more
semanticscholar   +1 more source

CoCa: Contrastive Captioners are Image-Text Foundation Models [PDF]

Trans. Mach. Learn. Res., 2022
Exploring large-scale pretrained foundation models is of significant interest in computer vision because these models can be quickly transferred to many downstream tasks.
Jiahui Yu, Zirui Wang, Vijay Vasudevan, Legg Yeung, Mojtaba Seyedhosseini, Yonghui Wu   +5 more
semanticscholar   +1 more source

Foundation models for generalist medical artificial intelligence

Nature, 2023
The exceptionally rapid development of highly flexible, reusable artificial intelligence (AI) models is likely to usher in newfound capabilities in medicine.
Michael Moor, Oishi Banerjee, Zahra F H Abad, H. Krumholz, J. Leskovec, E. Topol, P. Rajpurkar   +6 more
semanticscholar   +1 more source

C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models [PDF]

Neural Information Processing Systems, 2023
New NLP benchmarks are urgently needed to align with the rapid development of large language models (LLMs). We present C-Eval, the first comprehensive Chinese evaluation suite designed to assess advanced knowledge and reasoning abilities of foundation ...
Yuzhen Huang, Yuzhuo Bai, Zhihao Zhu, Junlei Zhang, Jinghan Zhang, Tangjun Su, Junteng Liu, Chuancheng Lv, Yikai Zhang, Jiayi Lei, Fanchao Qi, Yao Fu, Maosong Sun, Junxian He   +13 more
semanticscholar   +1 more source

Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models [PDF]

arXiv.org, 2023
ChatGPT is attracting a cross-field interest as it provides a language interface with remarkable conversational competency and reasoning capabilities across many domains.
Chenfei Wu, Sheng-Kai Yin, Weizhen Qi, Xiaodong Wang, Zecheng Tang, Nan Duan   +5 more
semanticscholar   +1 more source

AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models [PDF]

NAACL-HLT, 2023
Evaluating the general abilities of foundation models to tackle human-level tasks is a vital aspect of their development and application in the pursuit of Artificial General Intelligence (AGI).
Wanjun Zhong, Ruixiang Cui, Yiduo Guo, Yaobo Liang, Shuai Lu, Yanlin Wang, A. Saied, Weizhu Chen, Nan Duan   +8 more
semanticscholar   +1 more source

RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment [PDF]

Trans. Mach. Learn. Res., 2023
Generative foundation models are susceptible to implicit biases that can arise from extensive unsupervised training data. Such biases can produce suboptimal samples, skewed outcomes, and unfairness, with potentially serious consequences.
Hanze Dong, Wei Xiong, Deepanshu Goyal, Rui Pan, Shizhe Diao, Jipeng Zhang, Kashun Shum, T. Zhang   +7 more
semanticscholar   +1 more source

RemoteCLIP: A Vision Language Foundation Model for Remote Sensing [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2023
General-purpose foundation models have led to recent breakthroughs in artificial intelligence (AI). In remote sensing, self-supervised learning (SSL) and masked image modeling (MIM) have been adopted to build foundation models.
F. Liu, Delong Chen, Zhan-Rong Guan, Xiaocong Zhou, Jiale Zhu, Jun Zhou   +5 more
semanticscholar   +1 more source

La promoción escolar de los jándalos en Cantabria [PDF]

Cabás, 2016
De gran importancia para el proceso de instrucción de la población fue la promoción de establecimientos escolares en numerosas regiones españolas -incluida la actual Cantabria- por parte de emigrantes a América que lograron hacer fortuna en aquel ...
Ibarrondo, M. V. C.
doaj   +1 more source