Essential Interview Preparation for AI Roles: XGBoost, Transformer, BERT, and Wave Network Principles

Essential Interview Preparation for AI Roles: XGBoost, Transformer, BERT, and Wave Network Principles

Yunzhong from Aofeisi Quantum Bit Edited | Public Account QbitAI In today’s era of artificial intelligence, most people pay attention to deep learning technologies, but please do not overlook the understanding of traditional machine learning techniques. In fact, when you truly engage in AI work, you will find that the dependence on traditional machine learning … Read more

In-Depth Analysis of Text Semantic Similarity Research and Latest Progress

In-Depth Analysis of Text Semantic Similarity Research and Latest Progress

MLNLP ( Machine Learning Algorithms and Natural Language Processing ) community is a well-known natural language processing community both domestically and internationally, covering audiences of NLP master’s and doctoral students, university teachers, and industry researchers.The vision of the community is to promote communication between the academic and industrial circles of natural language processing and machine … Read more

Summary of Masking Methods in NLP Pre-Training

Summary of Masking Methods in NLP Pre-Training

MLNLP(Machine Learning Algorithms and Natural Language Processing) community is one of the largest natural language processing communities in China and abroad, gathering over 500,000 subscribers, with audiences including NLP master’s and doctoral students, university teachers, and corporate researchers.The vision of the community is to promote communication and progress between the academic and industrial sectors of … Read more

Understanding AI: Overview of Five Deep Learning Models

Understanding AI: Overview of Five Deep Learning Models

Deep learning is an important branch of artificial intelligence that has made significant progress in recent years. Among them, RNN, CNN, Transformer, BERT, and GPT are five commonly used deep learning models that have achieved important breakthroughs in fields such as computer vision and natural language processing. This article will briefly introduce these five models … Read more

Current Status and Analysis of Pre-trained Models in NLP

Current Status and Analysis of Pre-trained Models in NLP

Author | Wang Zeyang Organization | Niutrans Editor | Tang Li Reprinted from WeChat Official Account | AI Technology Review This article is submitted by Wang Zeyang, a graduate student from the Natural Language Processing Laboratory of Northeast University. Wang Zeyang’s research direction is machine translation. Niutrans, whose core members come from the Natural Language … Read more

Understanding BERT Principles for Beginners

Understanding BERT Principles for Beginners

Source: Machine Learning Beginners This article is about 4500 words long and is recommended to be read in 8 minutes. We will explore the BERT model and understand how it works, which is a very important part of NLP (Natural Language Processing). Introduction Since Google announced BERT’s outstanding performance in 11 NLP tasks at the … Read more

Understanding BERT: The Essence, Principles, and Applications of BERT

Understanding BERT: The Essence, Principles, and Applications of BERT

This article will coverthe essence of BERT, the principles of BERT, and the applications of BERTBidirectional Encoder Representations from Transformers | BERT. Google BERT 1. the essence of BERT BERT Architecture: A pre-trained language model based on a multi-layer Transformer encoder that captures the bidirectional context of text through Tokenization, various Embeddings, and task-specific output … Read more

The Evolution of Large Models: From Transformer to DeepSeek-R1

📖 Reading Time: 19 minutes 🕙 Release Date: February 14, 2025 ❝ Recent Hot Articles: The Most Comprehensive Mathematical Principles of Neural Networks (Code and Formulas) Intuitive Explanation Welcome to follow the Zhihu and WeChat public account columns LLM Architecture Column Zhihu LLM Column Zhihu【Boqi】 WeChat Public Account【Boqi Technology Talk】【Boqi Reading】 At the beginning of … Read more

How to Make NPCs ‘Live’? Use CrewAI to Crack New Virtual Dialogue!

How to Make NPCs 'Live'? Use CrewAI to Crack New Virtual Dialogue!

Dialogue analysis uses output from:Using proxies to bring NPCs to life with CrewAI Analysis • Simulation 1: A group of software engineers, computer scientists, and computer engineers • Conclusion • Support Analysis Methods • Extracted Features • Split global_conversations.txt • Sentiment, Topic, Vocabulary Diversity, Emotion • Self-Similarity • Notebook Background Previously, I discussed in my … Read more

BERT and GPT Outperform Transformers Without Attention or MLPs

BERT and GPT Outperform Transformers Without Attention or MLPs

Machine Heart reported Editors: Du Wei, Ze Nan This article explores the Monarch Mixer (M2), a new architecture that is sub-quadratic in both sequence length and model dimension, demonstrating high hardware efficiency on modern accelerators. From language models like BERT, GPT, and Flan-T5 to image models like SAM and Stable Diffusion, Transformers are sweeping the … Read more