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!
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- AI AgentsIn 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. The agent interacts(...) Read More
- Artificial Intelligence (AI)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. These tasks encompass(...) Read More
- AutonomousAutonomous within AI refers to artificial intelligence systems that can perform tasks and make decisions independently, without human intervention or assistance. These systems are capable of adapting to changing(...) Read More
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- Confidential ComputingConfidential Computing is an approach to data security that focuses on protecting data while it's being processed or used by applications. It ensures that data remains encrypted even during computation, typically(...) Read More
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- Deep LearningDeep 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. The term(...) Read More
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- Fine-tuningFine-tuning is a technique in machine learning that involves taking a pre-trained model and adapting it to a new task or dataset. The goal of fine-tuning is to leverage the knowledge already learned by the model during(...) Read More
- Foundational Model"Foundational Model" refers to a large-scale pre-trained model that serves as a base for various applications. A Foundational Model is: Large-Scale: Typically, foundational models are trained on vast amounts of(...) Read More
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- 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. This means it can perform any(...) Read More
- Generative Adversarial NetworksGenerative 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. They are used for(...) Read More
- Generative AIGenerative AI (GenAI) refers to machine learning methods that allow artificial intelligence systems to generate new artifacts rather than simply analyzing existing data. The key distinction is that generative models can(...) Read More
- Generative Pre-trained Transformers (GPTs)Generative Pre-trained Transformers (GPTs) are a type of language-processing AI model. They use a machine learning technique known as transformers, which allows them to generate human-like text by predicting the(...) Read More
- Generator & Discriminator (Neural Networks)The Generator, is a neural network whose primary function is to map latent variables from a predefined latent space to the data space. In simpler terms, it takes random noise as input and transforms it through a series(...) Read More
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- Neural NetworkA 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. The input layer receives the raw(...) Read More
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- Homomorphic EncryptionHomomorphic Encryption is a cryptographic technique that allows computations to be performed directly on encrypted data without the need to decrypt it first. In other words, it enables computations on encrypted data(...) Read More
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- InferenceInference is the process by which a trained machine learning model is used to make predictions on new, unseen data. Once a model has been trained on a dataset during the training phase, it can be used to predict the(...) Read More
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- LangchainOpen-source project to build applications atop LLMs.
- Large Language Model (LLM)Large Language Model (LLM) is a type of artificial intelligence model specifically designed to understand, generate, and manipulate human language. LLMs are characterized by their vast number of parameters, often(...) Read More
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- Machine Learning (ML)Machine Learning (ML) is a discipline within the broader field of artificial intelligence (AI) that focuses on the development of algorithms and statistical models that enable computer systems to perform tasks by(...) Read More
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- Narrow or Weak AIThis type of AI is designed and trained for a specific task. Examples of Narrow AI include facial recognition systems, voice-enabled assistants, and spam filtering. These systems operate under a limited pre-defined(...) Read More
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- PromptIn Generative AI, particularly in the realm of natural language processing, a 'prompt' refers to an input string or sequence that is fed into a generative model to initiate or guide the generation process. Essentially,(...) Read More
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- Reinforcement Learning (RL)Reinforcement Learning (RL) is a type of machine learning where an agent learns to make decisions by interacting with an environment. Unlike supervised learning, in reinforcement learning, the agent is not provided with(...) Read More
- Retrieval-Augmented Generation (RAG)Retrieval-Augmented Generation (RAG) is a method that combines the strengths of both retrieval-based and generative models for natural language processing tasks. Detailed breakdown: Retrieval Component: Before(...) Read More
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- Safety Model AdherenceSafety Model Adherence refers to the extent to which a machine learning or artificial intelligence system consistently follows and respects predefined safety protocols and guidelines. This ensures that the system(...) Read More
- Scalar RewardA Scalar Reward refers to a numerical value assigned to an action or outcome to indicate its desirability or quality. In the context of reinforcement learning, a scalar reward is given to an agent after it takes an(...) Read More
- Semi-Supervised LearningSemi-Supervised Learning is a machine learning paradigm that falls between Supervised Learning and Unsupervised Learning. It involves using a dataset that is partially labeled - meaning that some of the data samples(...) Read More
- Stable diffusionStable diffusion is a concept used in stochastic processes, which are mathematical models used to represent systems or phenomena that evolve over time in a way that involves randomness. In the context of machine(...) Read More
- Stochastic ProcessA stochastic process is a mathematical concept used to represent systems or phenomena that evolve over time in a probabilistic manner. It is a sequence of random variables representing the evolution of a system of(...) Read More
- Supervised LearningSupervised Learning is a paradigm within Machine Learning where an algorithm is trained to learn a mapping from input features to a specific output label or value, based on a dataset in which the true output values are(...) Read More
- Symbolic AI Symbolic AI, also known as "Good Old-Fashioned AI" (GOFAI), is a type of artificial intelligence that uses symbols and rules to solve problems. Symbolic AI was the dominant approach to AI from the 1950s to(...) Read More
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- Traditional AI applicationsTraditional AI applications typically refer to systems and solutions for quantitative means. These tasks include but are not limited: Rule-Based Systems: These are systems that make decisions based on predefined(...) Read More
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- Unsupervised LearningUnsupervised Learning is a category within Machine Learning where algorithms are used to analyze and model data that has not been labeled, classified, or categorized. Unlike supervised learning, no explicit supervision(...) Read More
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- VishingVoice phishing, also commonly referred to as vishing, is a scam during which cyber criminals use mobile or landline phones to steal personal information from individuals. The scammer calls a consumer to extract(...) Read More
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- Web 3.0Web 3.0, often referred to as the Semantic Web or the Internet of Things, represents the next generation of the internet, where websites and applications become more intelligent, connected, and tailored to individual(...) Read More
