Jin Chen, Contributor at Quantum Bits | WeChat Official Account QbitAI This time, it’s not about rolling parameters or computing power, but about rolling “cross-domain learning” — Let Stable Diffusion be the teacher, teaching multimodal large models (like Llama-3.2) how to “describe images”! Performance skyrocketed by 30%. The latest research by Chinese researchers in collaboration … Read more
Click the above “Visual Learning for Beginners” and choose to add a “Star” or “Top” Important content delivered first time From | Zhihu Author | Flitter Link | https://zhuanlan.zhihu.com/p/129316415 This article is for academic exchange only. If there is any infringement, please contact for deletion. The Attention mechanism has become one of the most important … Read more
Source: Harbin Institute of Technology SCIR This article is about 9300 words, recommended reading 10+ minutes. This article will explore the interpretability of the attention mechanism. Introduction Since Bahdanau introduced Attention as soft alignment in neural machine translation in 2014, a large number of natural language processing works have regarded it as an important module … Read more
Source: Machine Heart This article is about 5400 words, and it is recommended to read for more than 10 minutes. Mamba is promising, but its development is still in the early stages. There are many deep learning architectures, but in recent years, none have been as successful as the Transformer, which has established its dominance … Read more
Welcome to the special winter vacation column “High-Tech Lessons for Kids” launched by Science Popularization China! Artificial intelligence, as one of the most cutting-edge technologies today, is changing our lives at an astonishing pace. From smart voice assistants to self-driving cars, from AI painting to machine learning, it opens up a future full of infinite … Read more
The transformer is an encoder-decoder structure used in fields such as natural language processing and computer vision. The encoder-decoder structure is a crucial part of current large models. Encoder-decoder structure diagram: image-20240221221206633 The transformer module encodes the input to obtain features and then decodes to get the output. A classic diagram from the transformer paper: … Read more
Big Data Digest and Baidu NLP jointly produced Compiled by: Andy Proofread by: Baidu NLP, Long Xincheng Original Author: Jesse Vig Some intuitive patterns emerge in BERT’s intricate attention networks. 2018 was a turning point in the field of natural language processing, with a series of deep learning models achieving the best results on various … Read more
Follow the official account “ML_NLP“ Set as “Starred“, valuable content delivered to you first! Author: Yang Chongyang, Harbin Institute of Technology SCIR 1. Introduction Traditional natural language processing methods are interpretable, including rule-based methods, decision tree models, hidden Markov models, logistic regression, etc., which are also known as white-box techniques. In recent years, deep learning … Read more
Overview Understand the state-of-the-art transformer models. Learn how we implement transformers for the image captioning problem we have seen using TensorFlow. Compare the results of transformers with attention models. Introduction We have seen that the attention mechanism has become a compelling component of various tasks (such as image captioning) in sequence modeling and transduction models, … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP graduate students, university professors, and corporate researchers. The vision of the community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning both domestically and internationally, especially for … Read more