Generative AI: The Learning Partner of the Future

Generative AI: The Learning Partner of the Future

Article 576 1. Unique Advantages of Generative AI 1. 24/7 Companionship The greatest advantage of generative AI is its freedom from time and space limitations. Whether it’s a sudden question at 3 AM or a need in the quiet of night, AI can respond promptly, providing immediate learning support. This accessibility anytime and anywhere breaks … Read more

How to Use Generative AI for Email Communication with International Clients

How to Use Generative AI for Email Communication with International Clients

The Translation Service Committee of the China Translators Association was established in November 2002. It is the ninth branch of the China Translators Association and the only committee composed of translation service companies. To further promote industry communication and enhance high-quality development, the committee widely solicits successful experiences and effective practices in the management and … Read more

Summary of Classic Models for Speech Synthesis

Summary of Classic Models for Speech Synthesis

Machine Heart Column This column is produced by Machine Heart SOTA! Model Resource Station, updated every Sunday on the Machine Heart public account. This column will review common tasks in natural language processing, computer vision, and other fields, and detail the classic models that have achieved SOTA on these tasks. Visit SOTA! Model Resource Station … Read more

Understanding Deep Neural Network Design Principles

Understanding Deep Neural Network Design Principles

Over 200 star enterprises and 20 top investors from renowned investment institutions participated! “New Intelligence Growth List” aims to discover innovative companies in the AI field with “tenfold growth in three years“, will the next wave of AI unicorns include you? Click read the original text for details! According to Lei Feng Network: Artificial intelligence … Read more

Hinton’s Latest Research: The Future of Neural Networks is Forward-Forward Algorithm

Hinton's Latest Research: The Future of Neural Networks is Forward-Forward Algorithm

Big Data Digest authorized reprint from AI Technology Review Authors: Li Mei, Huang Nan Editor: Chen Caixian In the past decade, deep learning has achieved remarkable victories, with methods using large parameters and data through stochastic gradient descent proven effective. The gradient descent typically uses the backpropagation algorithm, which has led to ongoing questions about … Read more

Yan Model: The First Non-Attention Large Model in China

Yan Model: The First Non-Attention Large Model in China

On January 24, at the “New Architecture, New Model Power” large model launch conference held by Shanghai Yanxin Intelligent AI Technology Co., Ltd., Yanxin officially released the first general-purpose natural language large model in China that does not use the Attention mechanism—Yan model. As one of the few non-Transformer large models in the industry, the … Read more

Lightning Attention-2: Unlimited Sequence Lengths with Constant Compute Cost

Lightning Attention-2: Unlimited Sequence Lengths with Constant Compute Cost

Lightning Attention-2 is a novel linear attention mechanism that aligns the training and inference costs of long sequences with those of a 1K sequence length. The limitations on sequence length in large language models significantly constrain their applications in artificial intelligence, such as multi-turn dialogue, long text understanding, and the processing and generation of multimodal … Read more

Understanding Attention Mechanism in Machine Learning

Understanding Attention Mechanism in Machine Learning

The attention mechanism can be likened to how humans read a book. When you read, you don’t treat all content equally; you may pay more attention to certain keywords or sentences because they are more important for understanding the overall meaning. Image: Highlighting key content in a book with background colors and comments. The role … Read more

Attention Mechanism Bug: Softmax’s Role in All Transformers

Attention Mechanism Bug: Softmax's Role in All Transformers

The following article is sourced from WeChat public account: Xiao Bai Learning Vision. Author: Xiao Bai Learning Vision Editor: Machine Heart Link:https://mp.weixin.qq.com/s/qaAnLOaopuXKptgFmpAKPA This article is for academic sharing only. If there is any infringement, please contact the backend for deletion. Introduction This article introduces a bug in the attention formula in machine learning, as pointed … Read more