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
Hello everyone! I’m back! Today we are going to talk about a super hot topic – how to build your own chat system using HuggingChat. This tool provides us with a “building blocks” platform, allowing us to easily create chatbots similar to ChatGPT. Alright, let’s begin today’s Python journey! What is HuggingChat? HuggingChat is a … Read more
Follow the WeChat public account “ML_NLP“ Set as “starred” for heavy content delivery! Author | Adherer Organizer | NewBeeNLP Interview tips knowledge compilation series, continuously updated Full of valuable content, recommended to collect, or as usual, see you in the background (code: BT) 1. What Is the Basic Principle of BERT? BERT comes from Google’s … Read more
Introduction Happy Spring Festival everyone! Recently, DeepSeek has gained a lot of popularity. Today, I will share a program that uses Streamlit to deploy the DeepSeek-R1-Distill-Qwen-7B model. By deploying it locally, you can easily utilize DeepSeek’s conversational capabilities. Relationship with Qwen DeepSeek-R1-Distill-Qwen-7B is an open-source inference model based on the Qwen-7B architecture, distilled from the … Read more
New Intelligence Report Editor: Editorial Department [New Intelligence Guide] OpenAI’s first AI video model Sora has emerged, creating history once again. This technical report, known as a “world model”, was also released today, but specific training details have not yet been made public. Yesterday during the day, “Reality No Longer Exists” began trending across the … 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
Source: DeepHub IMBA This article is approximately 1000 words long and is recommended to be read in 5 minutes. This article will provide a complete summary of word embedding models. TF-IDF, Word2Vec, GloVe, FastText, ELMO, CoVe, BERT, RoBERTa The role of word embeddings in deep models is to provide input features for downstream tasks (such … Read more
Follow the public account “ML_NLP“ Set as “Starred“, heavy content delivered first-hand! Recently, I have started using Transformer for some tasks, specifically recording related knowledge points to build a relevant and complete knowledge structure system. The following is the article I am going to write; this is the sixteenth article in this series: Transformer: The … Read more
Author | mantch Reprinted from WeChat Official Account | AI Technology Review 1. What is XLNet XLNet is a model similar to BERT, rather than a completely different model. In short, XLNet is a general autoregressive pre-training method. It was released by the CMU and Google Brain teams in June 2019, and ultimately, XLNet outperformed … Read more
Follow the WeChat public account “ML_NLP” Set it as “Starred”, heavy content delivered first time! Source | Zhihu Address | https://zhuanlan.zhihu.com/p/268130746 Author | Mr.robot Editor | Machine Learning Algorithms and Natural Language Processing WeChat Public Account This article has been authorized by the author, and secondary reproduction is prohibited without permission. Interviewer: Do you understand … Read more