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
Alibaba Sister’s Guide This article delves deep into the core technologies of the DeepSeek large model, providing a comprehensive analysis from the company’s background, model capabilities, training and inference costs to the details of the core technologies. 1. About DeepSeek Company and Its Large Model 1.1 Company Overview DeepSeek was established in July 2023 in … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university teachers, and enterprise researchers. Community Vision is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for beginners. Reprinted from | RUC … Read more
Follow the public account “ML_NLP“ Set as “Starred” for heavy content delivered first-hand! Reprinted from | Xiaoyao’s Cute Selling House Written by | Huang Yu Source | Zhihu In the field of NLP, transformer has successfully replaced RNNs (LSTM/GRU), and has also found applications in CV, such as object detection and image annotation, as well … Read more
MLNLP ( Machine Learning Algorithms and Natural Language Processing ) community is a well-known natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university professors, and corporate researchers. The vision of the community is to promote communication between the academic and industrial circles of natural language processing and machine learning, … Read more
This article shares a detailed blog post about the Transformer from Harvard University, translated by our lab. The Transformer architecture proposed in the paper “Attention is All You Need” has recently attracted a lot of attention. The Transformer not only significantly improves translation quality but also provides a new structure for many NLP tasks. Although … Read more
Source: Dolphin Data Science Laboratory This article is approximately 6000 words and is recommended for a 12-minute read. This is a deep technical popular science and interpretation article, without excessive technical terms. [ Introduction ] The author of this article is Dr. Chen Wei, who previously served as the chief scientist of a Huawei-affiliated natural … Read more
In recent years, the rapid development of large language model (LLM) technology has driven the widespread application of intelligent agents. From task automation to intelligent dialogue systems, LLM agents can greatly simplify the execution of complex tasks. To help developers build and deploy these intelligent agents more quickly, several open-source tools have emerged, especially those … Read more
Source: Shizhi AI This article has 1838 words and suggests a 5-minute reading time. The Tsinghua NLP Laboratory and Mianbi Intelligent have released the MiniCPM-2B series lightweight model on the wisemodel.cn open-source community, which is considered a performance powerhouse, surpassing Mistral-7B and even outdoing many larger models like 13B and 33B, capable of running directly … Read more
Reported by Machine Heart In today’s NLP field, we can see the success of “Transformer-based Pre-trained Language Models (T-PTLM)” in almost every task. These models originated from GPT and BERT. The technical foundations of these models include Transformer, self-supervised learning, and transfer learning. T-PTLM can learn universal language representations from large-scale text data using self-supervised … Read more