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HomeHomework Helpartificial-intelligenceLarge Language Models

Large Language Models

Large Language Models (LLMs) are a type of artificial intelligence technology that enables computers to process and understand human language. LLMs are used in various applications, including AI agents, to provide context and generate human-like responses. The study of LLMs is significant in Computer Science as it has numerous applications in natural language processing, machine learning, and human-computer interaction.

intermediate
3 hours
Artificial Intelligence
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Overview

Large Language Models (LLMs) are a significant advancement in artificial intelligence, enabling machines to understand and generate human language. They rely on vast datasets and complex algorithms, particularly neural networks, to learn patterns and context in text. This capability allows LLMs to p...

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Key Terms

Artificial Intelligence
The simulation of human intelligence in machines.

Example: AI can perform tasks like speech recognition.

Machine Learning
A subset of AI that enables systems to learn from data.

Example: Spam filters learn to identify unwanted emails.

Natural Language Processing
A field of AI focused on the interaction between computers and human language.

Example: NLP is used in voice-activated assistants.

Neural Networks
Computational models inspired by the human brain, used in machine learning.

Example: Neural networks can recognize images.

Tokenization
The process of breaking text into smaller units called tokens.

Example: Tokenization splits a sentence into words.

Training Data
Data used to train a machine learning model.

Example: A dataset of sentences is used to train an LLM.

Related Topics

Deep Learning
A subset of machine learning that uses neural networks with many layers to analyze various factors of data.
advanced
Reinforcement Learning
A type of machine learning where an agent learns to make decisions by receiving rewards or penalties.
advanced
Computer Vision
A field of AI that enables computers to interpret and make decisions based on visual data.
intermediate

Key Concepts

Natural Language ProcessingMachine LearningNeural NetworksText Generation