Large Language Model (LLM)

Artificial intelligence has gradually become deeply integrated into our daily lives, and one influential technology in this realm is the Large Language Model (LLM). The recent popularity of ChatGPT is an application of this technology.

A Large Language Model is trained on vast amounts of textual data, aiming to enable the model to learn and understand patterns and rules within the text. Typically, these models contain tens to hundreds of billions of parameters, storing various patterns or rules learned from the textual data. Ultimately, this allows them to generate entirely new text, provide sensible responses, or make predictions in specified contexts.

In simple terms, a Large Language Model (LLM) is a tool in artificial intelligence that enables computers to understand human language. Common basic applications in daily life include:

1. Text Generation – Generating articles, poems, stories.
2. Text Organization – Organizing obtained textual data for tasks such as knowledge base answers, data classification, and sentiment analysis.
3. Translation – LLM improves translation outputs by understanding context, making translations more nuanced compared to traditional machine translations.
4. Intelligent Search Engines and Chatbots – LLM enhances existing services, accurately capturing user intent and providing desired results.
5. Code Generation – LLM applications can generate commonly used code based on natural language prompts, such as Python, C, JAVA, or SQL commands.

Although the rise of LLM technology may seem recent, there are already numerous practical applications in daily life. With the growth of LLM data in the future, we can anticipate more comprehensive and user-friendly applications, further changing our lifestyles and work patterns.