Selected from arXiv Compiled by Machine Heart Contributors: Li Yazhou, Jiang Siyuan This article starts with two papers to briefly introduce the basic classifications and concepts of Natural Language Processing (NLP), and then showcases NLP in deep learning to the readers. Both papers are excellent introductory reviews, and readers who wish to delve deeper into … Read more
NLTK: The Most Powerful Natural Language Processing Python Library! Have you ever wondered how to make computers understand human language? Or dreamed of creating an AI assistant that can converse with people? If so, you definitely shouldn’t miss out on NLTK, this powerful Python library. I once faced a tricky problem: analyzing a large amount … Read more
Hello everyone! I am very glad to have the opportunity to share with you common interview questions in the field of Natural Language Processing (NLP). As an important branch of artificial intelligence, NLP has developed rapidly in recent years and has a wide range of applications in various industries. Familiarity with these interview questions can … Read more
Natural Language Processing (NLP) is an interdisciplinary field of computer science and linguistics, aimed at enabling computers to understand, interpret, and generate natural language. In Python, NLP tasks can be accomplished using a series of powerful libraries and tools, such as NLTK, spaCy, and TextBlob. This article will introduce some basic NLP tasks and provide … Read more
AllenNLP is an open-source deep learning framework based on PyTorch that focuses on natural language processing (NLP) tasks. Developed by the Allen Institute for AI, it aims to provide researchers and engineers in NLP with a flexible, efficient, and easily extensible platform that supports a complete workflow from rapid experimentation to production-level deployment. 1. Why … Read more
1. Introduction: The Emotional Interpretation Growth Journey of Smart Assistant Xiao Meng On a sunny afternoon, Xiao Meng, a newly upgraded smart assistant, finally faced her first major test. This test was not only a challenge to her functionalities but also a validation of her ability to truly understand human emotions. Xiao Meng’s ‘parents’—a research … Read more
Hello everyone, I am Liu Cong from NLP. Just tonight, Kimi released the latest model K1.5, first, let’s take a look at the leaderboard results, it’s simply explosive. In long reasoning, K1.5 far surpasses OpenAI’s O1 model in mathematical ability, whether in pure text or visual multimodal; it is on par with Codeforces, slightly lagging … Read more
The Attention mechanism is a technique in deep learning, particularly widely used in Natural Language Processing (NLP) and computer vision. Its core idea is to mimic the human attention mechanism, where humans focus on certain key parts of information while ignoring less important information. In machine learning models, this can help the model better capture … Read more
Editor’s Overview This reading list published by Latent Space selects 50 papers in the field of AI engineering, covering ten core modules, providing valuable resources for AI engineers and other professionals to enhance their skills. The cutting-edge large language model (LLM) section covers the latest developments of major series models; the benchmarking and evaluation module … Read more