IDSC Topics 11 and 12

artificial intelligence (AI)

Computer software that can mimic or improve upon functions that would otherwise require human intelligence.

hallucination

In the context of AI, hallucination refers to answers that generate results that are incorrect and aren't based on facts.

prompt

A request made to generative artificial intelligence systems.

generative AI

A type of artificial intelligence whose output is some type of media, such as text, images, audio, or video, generated based on a prompt.

constitutional AI

A method for providing alignment and safety in an AI by incorporating specific rules or guidelines that the AI must follow.

genetic algorithms

AI technologies that seek optimal models by transforming or 'mutating' an algorithm through iterative testing.

neural networks

Statistical techniques used in AI to hunt down patterns and build multilayered relationships.

parameters

Values created by the foundation model used by LLMs to determine text elements and refine relationships.

machine learning (ML)

A type of AI that leverages data to improve accuracy of predictions and actions without additional programming.

deep learning

A type of machine learning that uses multiple layers of data interconnections to identify patterns.

Turing test

A test of a computer's ability to exhibit indistinguishable behavior from a human.

corpus

The data used to train an AI.

foundation model

The base technology used to train a large language model.

prompt engineering

The practice of designing inputs for generative AI tools to produce optimal outputs.

large language model (LLM)

A type of AI used for general-purpose language understanding and generation.

reinforcement learning from human feedback

A machine learning technique that uses rewards and human feedback for continual tuning of results.

artificial general intelligence (AGI)

Software capable of learning any task or subject, including reasoning about unfamiliar topics.

supervised learning

A type of machine learning where algorithms are trained with explicit examples of desired results.

expert systems

AI systems that mimic human expertise through programmed decision rules.

self-supervised learning

A type of learning where systems build pattern-recognition algorithms using unclassified data.

pair programming

A software development technique where two programmers work side-by-side on the same screen.

OCR

Optical Character Recognition, software that scans images and identifies text.

legacy systems

Older information systems often incompatible with newer technologies, inhibiting operational agility.