Innovation Glossary

Level Up Development strives to establish a consistent, enduring process or culture of innovation within a company. Here’s your handy guide to understanding the jargon and terminology associated with technological innovations, essential for thriving in a digital world. Explore the meanings of new vocabulary words related to recent innovations right here!

a

• AI Agents In the context of Generative AI, the term 'agent' typically refers to an autonomous entity or algorithm that is capable of performing actions to achieve specific goals within a given environment.
• Artificial Intelligence (AI) is a multidisciplinary field of science and engineering that aims to create computational systems capable of performing tasks that typically require human intelligence.
• Autonomous within AI refers to artificial intelligence systems that can perform tasks and make decisions independently, without human intervention or assistance.

c

• Confidential Computing is an approach to data security that focuses on protecting data while it's being processed or used by applications.

d

• Deep Learning is a subfield of machine learning that focuses on algorithms based on artificial neural networks, particularly those networks with multiple layers, often referred to as deep neural networks.

f

• Fine-tuning is a technique in machine learning that involves taking a pre-trained model and adapting it to a new task or dataset.
• Foundational Model refers to a large-scale pre-trained model that serves as a base for various applications.

g

• General or Strong AI: This is a form of AI that has the ability to apply intelligence to any problem, rather than just one specific problem, ideally in a way that's indistinguishable from human intelligence.
• Generative Adversarial Networks, or GANs, are a class of artificial intelligence algorithms used in unsupervised machine learning, which was introduced by Ian Goodfellow and his colleagues in 2014.
• Generative AI refers to machine learning methods that allow artificial intelligence systems to generate new artifacts rather than simply analyzing existing data.

n

• Neural Network consists of layers of interconnected nodes, or "neurons", each of which takes in input, performs a computation on that input, and passes the output to the next layer.

h

• Homomorphic Encryption is a cryptographic technique that allows computations to be performed directly on encrypted data without the need to decrypt it first.

i

• Inference is the process by which a trained machine learning model is used to make predictions on new, unseen data.

l

• Large Language Model (LLM) is a type of artificial intelligence model specifically designed to understand, generate, and manipulate human language.

m

• Machine Learning (ML) is a discipline within the broader field of artificial intelligence (AI) that focuses on the development of algorithms and statistical models.

p

• Prompt refers to an input string or sequence that is fed into a generative model to initiate or guide the generation process.

r

• Reinforcement Learning (RL) is a type of machine learning where an agent learns to make decisions by interacting with an environment.

s

• Safety Model Adherence refers to the extent to which a machine learning or artificial intelligence system consistently follows and respects predefined safety protocols and guidelines.

t

• Traditional AI applications typically refer to systems and solutions for quantitative means.

u

• Unsupervised Learning is a category within Machine Learning where algorithms are used to analyze and model data that has not been labeled.

v

• Vishing Voice phishing is a scam during which cyber criminals use mobile or landline phones to steal personal information from individuals.

w

• Web 3.0 represents the next generation of the internet, where websites and applications become more intelligent, connected, and tailored to individual needs.