LLM vs Generative AI Differences

Are LLM and generative AI the same?

No, LLMs are a subset of generative AI focusing specifically on generating human-like text, while generative AI encompasses a broader range of content creation capabilities across various media.

How do traditional AI and LLMs differ?

Traditional AI often focuses on rule-based or specific task-oriented processes. At the same time, LLMs leverage vast amounts of data to generate and understand human-like text, offering more flexible and generalized applications.

What is the difference between an AI agent and an LLM?

An AI agent is a system capable of autonomous actions in an environment to achieve designated goals, while an LLM is specifically designed to understand and generate human language.

Is a chatbot always powered by an LLM?

An LLM can power a chatbot if it uses a large language model to understand and generate human-like responses; however, not all chatbots use LLMs, as some operate on simpler, rule-based systems.

What does LLM mean in artificial intelligence?

In artificial intelligence, LLM stands for Large Language Model, a type of deep learning model trained on vast datasets to understand, interpret, and generate human language.