Natural language processing

Natural language processing is an AI field that allows computers to understand and generate human language. LLM is the latest achievement in this field.

Natural language processing (NLP) is a field of research that enables computers to understand and create natural language, the speech and writing that people use every day. Many of the services we already use every day, such as translators, spam filters, search engines, and chatbots, are the result of this field.

Because computers originally only understood commands in a set format, separate technologies were needed to deal with human language, which is ambiguous and varies depending on the context. For a long time, it was approached using grammar rules and statistical techniques, but with the advent of deep learning and transformers, performance improved dramatically, leading to the current LLM era. With LLM becoming such a hot topic, it is easy to think that NLP is just a chatbot, but it is a field that includes much broader tasks such as document classification, sentiment analysis, summarization, and entity name recognition.

✅ Why it matters

• You will understand the principles of everyday services such as translation, search, and chatbots
• It will provide context on what flow LLM and generative AI came from
• It will be basic knowledge of work automation such as text data analysis

⚠️ Limits and debates

• The ambiguity of language and cultural context are still difficult to completely handle
• Languages other than English, such as Korean, have relatively insufficient data and performance
• Since the advent of LLM, the division of roles with traditional techniques is being reorganized.