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DeepSeek is a leader among AI large models, with continuous breakthroughs and innovations leading the new direction of artificial intelligence development. This article presents the essence of the technology in a PPT-style format, deeply unveiling the core technologies of DeepSeek. It first summarizes the characteristics of DeepSeek, including content tokenization, the need to process text … Read more
DeepSeek, as a trend-setting financial tool, with its powerful features, can easily achieve automation of accounting processes, instant report generation, and precise financial analysis. However, this does not mean that financial personnel will face the fate of being replaced. On the contrary, the emergence of DeepSeek will further propel the finance industry towards polarization, where … Read more
↑↑Please click the “blue text” above to follow↑↑ DeepSeek Campus Autonomous Vehicle Management: Scheduling for Campus Vehicles Hello! Today, I want to learn with you about a very interesting and practical DeepSeek programming application – the scheduling management of campus autonomous vehicles. We will start from basic knowledge and gradually build a small system that … Read more
Original | Accounting at Your Fingertips How DeepSeek Can Assist Finance Professionals Author: Yuan Guohui Sunset at the Construction Site (Photo: Yuan Guohui) DeepSeek is making waves in the field of artificial intelligence. I downloaded both DeepSeek and Doubao on my phone, and after experiencing them, I found both to be very user-friendly. I tried … Read more
Click belowCard, follow the “CVer” public account AI/CV heavy content, delivered first time Click to enter—>【Object Detection and Transformer】 group chat Reprinted from: Machine Heart | Edited by: Egg Sauce, Xiao Zhou SVM is all you need, support vector machines never go out of style. Transformer is a support vector machine (SVM), a new theoretical … Read more
In the era following deep learning, the Transformer architecture has demonstrated its powerful performance in pre-trained large models and various downstream tasks. However, the significant computational demands of this architecture have deterred many researchers. To further reduce the complexity of attention models, numerous efforts have been invested in designing more efficient methods. Among these, the … Read more
Click the card below to follow the “CVer” WeChat public account AI/CV heavy-duty content delivered to you first Author: Amusi | Source: CVer Introduction There are not many abbreviations left for the combination of Transformer + U-Net… Previously, I reviewed the currently published 5 papers on Transformer + medical image segmentation at MICCAI 2021, see: … Read more
Reported by Machine Heart Machine Heart Editorial Team Can it hold context of any length? Here is a new model called ∞-former. In the past few years, the Transformer has dominated the entire NLP field and has also crossed into other areas such as computer vision. However, it has its weaknesses, such as not being … Read more
©PaperWeekly Original · Author | Su Jianlin Affiliation | Scientific Space Research Direction | NLP, Neural Networks In the second article of this series, “The Path of Transformer Upgrade: A Rotational Position Encoding that Draws on the Strengths of Many,” the author proposes Rotational Position Encoding (RoPE) — a method to achieve relative position encoding … Read more
Reading articles about LLMs, you often see phrases like “we use the standard Transformer architecture.” But what does “standard” mean, and has it changed since the original paper? Interestingly, despite the rapid growth in the NLP field over the past five years, the Vanilla Transformer still adheres to the Lindy Effect, which suggests that the … Read more