Natural Language Processing (NLP) helps computers understand, interpret and produce human language. It studies language as data and develops a model that can analyse linguistic structure, meaning and context in both written and spoken communication.

Natural language processing (NLP) is a subfield of computer science and artificial intelligence (AI) that uses machine learning to enable computers to understand and communicate with human language.

Natural language processing (NLP) is the processing of natural language information by a computer. NLP is a subfield of computer science and is closely associated with artificial intelligence.

Natural language processing (NLP) is the discipline of building machines that can manipulate human language — or data that resembles human language — in the way that it is written, spoken, and organized.

Natural Language Processing (NLP) helps machines to understand and process human languages either in text or audio form. It is used across a variety of applications from speech recognition to language translation and text summarization.

Natural language processing (NLP) is a subset of artificial intelligence, computer science, and linguistics focused on making human communication, such as speech and text, comprehensible to computers.

Its aim is to bridge the gap between traditional computational linguistics research and the implementation of practical applications with potential real-world use.

Natural language processing—often shortened to NLP—is a branch of artificial intelligence that helps computers understand, interpret, and respond to human language.

Natural Language Processing (NLP) is a branch of artificial intelligence focused on enabling computers to understand, interpret, and generate human language in a meaningful way.

In this course, you will explore the fundamental concepts of NLP and its role in current and cutting-edge research on Large Language Models (LLMs). You will gain a thorough understanding of modern neural network algorithms for the processing of linguistic information.