Large Language Model (LLM)

A Large Language Model is a neural network that processes and generates text based on patterns learned from vast datasets to perform various language processing tasks.

  • Published on: August 17, 2024
  • Updated on: August 17, 2024

Meaning

A type of artificial intelligence model designed to understand and generate human language.

Definition

A Large Language Model (LLM) is a neural network trained on massive datasets of text to understand and generate language.

These models perform various natural language processing (NLP) tasks such as translation, summarization, and question-answering by predicting the next word in a sequence, generating coherent text based on context.

Example

ChatGPT is a well-known LLM capable of generating human-like responses in text-based conversations, providing users with information, engaging in casual dialogue, and even helping with writing tasks.

Related Items

Discover more related items.

What is Parameter?

Parameters are the weights and biases in a neural network that the model adjusts during training to minimize error in predictions.

Learn More

What is Hallucination?

Hallucination refers to instances where the model produces outputs that are factually incorrect or not grounded in reality, despite sounding plausible.

Learn More

What is Chain-of-Thought (CoT) Prompting?

This technique prompts the model to articulate its thought process step-by-step, leading to more accurate and transparent outputs.

Learn More