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Transcript

Generative AI Terms

ARTIFICIAL INTELLIGENCE (ai)

NATURAL LANGUAGE

lARGE LANGUAGE MODELS (LLMS)

PRE-TRAINING

MACHINE LEARNING

Artificial NEURAL NETWORKS

GENERATIVE ARTIFICIAL INTELLIGENCE

DEEP LEARNING

ALGORITHMS

Tokens

A field within computer science dedicated to creating machines capable of performing tasks that typically require human intelligence.

Natural language refers to the human-like text that the AI system can understand, process, and produce, mimicking human communication in various contexts and styles.

An advanced artificial intelligence system trained on vast amounts of text data to understand, generate, and manipulate human language with high accuracy and fluency.

The initial training of a large language model on a vast corpus of text data to learn general language patterns and structures before fine-tuning it for specific tasks.

The ability of computers to learn from data without being programmed by humans. Machine learning uses algorithms to identify patterns and make decisions and predictions.

Mathematical models used in deep learning that are inspired by the structure of the human brain.

A subset of artificial intelligence that involves creating models capable of generating new data, images, text, or other content based on patterns learned from existing data.

A subset of machine learning that utilizes artificial neural networks with multiple layers to simulate the complex decision-making abilities of the human brain.

Step-by-step procedures that computers follow to analyze data, identify patterns, and make decisions or predictions.

Small chunks of text used in large language models