【CC字幕】Quantization & Quantization of Large Language Models 876 28 36:46:29 App 最强动画解释神经网络是如何工作的?这可能是唯一一个把神经网络工作原理讲透彻的教程了吧!建议收藏!——(人工智能、神经网络、机器学习、AI、卷积神经网络) 1033 17 9:16:33 App 【2024最新版】新年花3W买的清华大学Transfor...
PPT: "PPT: Token Pruning and Pooling for Efficient Vision Transformers", arXiv, 2023 (Huawei). [Paper] MatFormer: "MatFormer: Nested Transformer for Elastic Inference", arXiv, 2023 (Google). [Paper] SparseFormer: "Bootstrapping SparseFormers from Vision Foundation Models", arXiv, 2023 (NU...
Conditional Prompt Learning for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu S-Lab, Nanyang Technological University, Singapore {kaiyang.zhou, jingkang001, ccloy, ziwei.liu}@ntu.edu.sg Abstract With the rise of powerful pre-trained vision-language...
1: A vision-language model with an ensemble of experts2: Masked generative image transformer....
Large Language Model 大语言模型(LLM) GPT-1 : "Improving Language Understanding by Generative Pre-Training". (cs.ubc.ca, 2018). GPT-2 : "Language Models are Unsupervised Multitask Learners". (OpenAI blog, 2019). Better language models and their implications. GPT-3 : "GPT-3: Language Model...
Gao et al. (2021c)Tianyu Gao, Adam Fisch, and Danqi Chen. 2021c.Making pre-trained language models better few-shot learners.InACL-IJCNLP. Gu et al. (2021)Yuxian Gu, Xu Han, Zhiyuan Liu, and Minlie Huang. 2021.Ppt: Pre-trained prompt tuning for few-shot learning.arXiv preprint arXi...
Ecological Visions Report Vision 3 - Welcome to Ken Klemows 生态愿景报告视觉3 -欢迎Ken klemow的.ppt,VISION 3: STIMULATING CULTURAL CHANGES FOR A FORWARD-LOOKING AND INTERNATIONAL ECOLOGYJohn CybulskiKevin HollockAaron Hollenbeck Alfonso LavegliaMelissa P
新的 Phi-3.5-vision-instruct 支持多帧或者多图的输入，我们可以更好地在视觉场景中对视频、PPT、...
Chapter 1 The Language of Leadership HPR 323. Chapter 12 Leadership The essence of leadership involves inspiring a vision, enabling others to act, modeling. ADMINISTRATIVE LEADERSHIP (Part 3) Transformational leadership The strategic management process ...
[X-CLIP] Expanding Language-Image Pretrained Models for General Video Recognition [paper] [code] [TinyViT] TinyViT: Fast Pretraining Distillation for Small Vision Transformers [paper] [code] [FastMETRO] Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers [paper]...