Exploring Use Cases for Large Language Models, NLP Modeling, and Agents

Exploring Use Cases for Large Language Models, NLP Modeling, and Agents

Source: FIN AI Exploration Big Data Digest This article is approximately 2400 words long and is suggested to be read in 5 minutes. In the short term, Agents mainly focus on improving efficiency. In the domestic large language model field, applications are flourishing. Here are a few observations I have made recently: Smaller parameter models … Read more

He Xiaodong: How AI Understands Humans Through NLP Technology

He Xiaodong: How AI Understands Humans Through NLP Technology

GBAS Integrating into the Global Economy to Drive Bay Area Development Follow Author | Zhang Li Source | Lei Feng Network In recent years, the development of deep learning has profoundly propelled artificial intelligence. The next major breakthrough in artificial intelligence lies in understanding natural language. On June 23, the China Computer Federation held a … Read more

Using Apache OpenNLP for Natural Language Processing

Using Apache OpenNLP for Natural Language Processing

Natural Language Processing (NLP) is one of the most important frontiers in the field of software. Since the advent of digital computing, the fundamental idea—how to effectively use and generate human language—has been a continuous effort. Today, this work continues, with machine learning and databases at the forefront of mastering natural language. This article is … Read more

NLP’s Confession: My Hard Work is to Understand You!

NLP's Confession: My Hard Work is to Understand You!

Follow Us | Free Book at the End In 1950, Alan Turing published a paper titled “Computing Machinery and Intelligence” proposing the famous “Turing Test”. This involved automatic interpretation and natural language generation, which became the starting point for the development of Natural Language Processing (NLP). Natural Language Processing is a field of study within … Read more

A Comprehensive Learning Path for NLP Algorithms

A Comprehensive Learning Path for NLP Algorithms

As 2021 is about to end, looking back at the recent autumn recruitment for algorithm positions, it can be described as going from ashes to hell on earth. The trend has shifted: those considering a career change are starting to change careers, and those switching majors are starting to switch majors. Many people want to … Read more

Introduction to Practical Applications of Natural Language Processing (NLP)

Preface:The previous article summarized some basic knowledge of natural language processing, and next we will organize a simple introduction to some practical applications of NLP, including information extraction, automatic summarization, question answering systems, etc. The focus of this article is on the question answering system. Similar to the previous article, the content of this article … Read more

Fourteen Psychological Laws of NLP

Fourteen Psychological Laws of NLP

The sun rises in the east and sets in the west, the earth follows its orbit, tides rise and fall, the moon waxes and wanes, and the seasons change. Everything follows a pattern. In fact, there are many patterns in the human mind, yet few people understand them. Today, I will introduce the psychological laws … Read more

Future Research Directions of NLP in Marketing

Article Title: Natural Language Processing in Marketing Authors: Jochen Hartmann, Oded Netzer Published Journal: Artificial Intelligence in Marketing Review of Marketing Research Article Summary: Introduce the applications of natural language processing (NLP) in marketing, review traditional NLP methods, look ahead to the future applications of embedding-based methods, pre-trained language models and transfer learning in marketing, … Read more

Understanding Natural Language Processing: NLP Insights

Understanding Natural Language Processing: NLP Insights

Follow Us丨Book Giveaway at the End As a branch of artificial intelligence and linguistics, natural language processing, simply put, is the conversion of natural language (such as English or Mandarin) into data that computers can use to understand the world (numbers). This understanding of the world is sometimes used to generate natural language text that … Read more

No Manual Annotation Needed! LLM-Enhanced Text Embedding Learning: Easily Supporting 100 Languages and Adapting to Hundreds of Thousands of Downstream Tasks

No Manual Annotation Needed! LLM-Enhanced Text Embedding Learning: Easily Supporting 100 Languages and Adapting to Hundreds of Thousands of Downstream Tasks

MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, reaching an audience of NLP graduate students, professors, and researchers in enterprises. The vision of the community is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for beginners. … Read more