What is a Large Language Model?

A Large Language Model (LLM) is a type of artificial intelligence model trained on vast amounts of text data to understand and generate human-like text. These models use transformer architecture and have billions of parameters to capture complex language patterns.

When to use Large Language Models?

Use LLMs for content generation, text summarization, language translation, question answering, code generation, and conversational AI applications. They're particularly valuable when you need sophisticated language understanding and generation capabilities.

When not to use Large Language Models?

Avoid LLMs when you need highly specialized domain knowledge, real-time processing with strict latency requirements, or when computational costs are prohibitive. They're also not suitable for tasks requiring factual accuracy without verification.

What is the importance of Large Language Models?

LLMs represent a significant advancement in AI's ability to understand and generate human language, enabling more sophisticated AI applications and transforming how we interact with technology through natural language interfaces.