Title: What Is A Large Language Model
Course: LLM_Prompt_Engineering_For_Developers > Section: Module 148: What Is A Large Language Model

What is a Large Language Model?

A Large Language Model is a machine learning model that has been trained on extensive datasets comprising text from books, articles, websites, and more. The training process allows these models to learn patterns, grammar, facts, and even some reasoning abilities.

Key Features of LLMs:

1. Scale: LLMs are characterized by their large scale, meaning they are typically composed of billions or even trillions of parameters. These parameters are the values that the model adjusts during training to minimize error in predictions.
2. Training Data: LLMs are trained on diverse datasets, which helps them understand a wide range of topics and styles of writing. However, the quality and variety of training data significantly influence their performance.
3. Contextual Awareness: LLMs can maintain context over a conversation or a text passage, allowing them to generate more meaningful and relevant responses. This capability is foundational for applications in fields like customer service, tutoring, and content creation.

How LLMs Work