Large Language Model (LLM)

How LLMs work

LLMs are trained on text data containing billions of words and are capable of performing a wide range of tasks: Natural language processing (NLP) — automatic translation, tone analysis, chatbots. Content generation — writing articles, creating code, generating answers to questions. Summarization and information retrieval — summarizing long texts, searching for relevant data.

LLMs require powerful computing infrastructure, including servers with graphics processing units (GPUs), to work effectively.

Using cloud GPU servers speeds up LLM training and deployment, reducing the load on local equipment. ITGLOBAL.COM offers flexible server configurations with graphics cards for high-performance computing.

LLM applications

LLMs are used in various fields. In business and marketing, they help automate customer support and create advertising texts. In education, they are used for personalized learning and creating interactive assistants. In software development, they allow you to generate code, find errors, and autocomplete software constructs.