AI Dictionary

This approach aims to classify new data points not encountered during training by leveraging knowledge from similar concepts, allowing for generalization beyond training data

This ethical dilemma in self-driving cars refers to scenarios where unavoidable accidents occur, posing challenges in decision-making

This method initializes weights in neural networks with specific values to avoid vanishing or exploding gradients, ensuring faster convergence during training

This is an internal representation of the world an AI agent maintains, used for reasoning, planning, and decision-making.

This is an algorithm for solving the Bellman equation in reinforcement learning, used to estimate the value function.

This design philosophy prioritizes the needs and experiences of users when developing AI systems

A specific asset digitized.

"Text-to-video" refers to a type of AI technology that can generate videos based on textual descriptions. These descriptions can vary in detail, from basic keywords to elaborate narratives. The generated videos can be realistic, cartoonish, or abstract, depending on the capabilities of the specific model and the user's desired style.

These are powerful algorithms for classification and regression, especially with high-dimensional data

In the context of AI, "SORA" currently has two main meanings:

1. OpenAI's Text-to-Video Model:

This is the primary meaning associated with "SORA" in AI today. It refers to a cutting-edge text-to-video model developed by OpenAI, launched in February 2024. SORA allows users to create realistic and creative short videos (up to 60 seconds) simply by providing written descriptions. It understands physical dynamics, objects, and even basic human emotions, generating visually stunning and realistic outputs.

A group of experts recruited to simulate adversarial attacks and identify potential risks and vulnerabilities in the development and deployment of their AI models

This branch of AI focuses on developing systems that can reason logically and draw conclusions from information.

This emerging field explores the potential of using quantum computers to accelerate machine learning algorithms and solve problems that are intractable for classical computers.

"Pay-per-use" is a payment model where customers pay for a product or service only when they use it, rather than paying a fixed upfront cost or subscription fee. It's essentially a consumption-based pricing model.

This technique uses AI to translate text from one language to another. It's widely used in applications like Google Translate and DeepL.

This is a branch of AI that focuses on developing systems that can learn and adapt continuously over time. Lifelong learning systems are able to learn from new data and experiences, and they can improve their performance over time.

Machine learning techniques based on similarity measures between data points.

Training multiple AI models simultaneously to learn from each other and improve their performance.

Combining different machine learning techniques like supervised and unsupervised learning to improve performance

Ability of an AI model to perform well on new data it hasn't been explicitly trained on.

Reasoning with degrees of truth rather than strict true/false values, useful for handling uncertainty and vagueness.

Using evolutionary algorithms to optimize solutions to complex problems

Considering the ethical implications of developing and using AI systems

A "deepfake" is a type of synthetic media that uses artificial intelligence to manipulate images, audio, or video to make it appear as if someone said or did something they didn't. This is achieved by training deep learning models on large datasets of real images and audio, allowing them to create highly realistic and convincing forgeries.

DALL-E 3 stands for "Diffusion Autoencoders for Language to Image 3". It is a powerful artificial intelligence model developed by OpenAI that can generate photorealistic images based on textual descriptions. It's the latest iteration of its predecessor, DALL-E 2, and represents a significant advancement in text-to-image generation.

Artificial Intelligence (AI) is a computer-based level of intelligence that operates like human intelligence. It involves the creation of software or algorithms that perform tasks specific to the expertise, often relying on specific expertise, such as human-like decision-making, in particular circumstances.

AGI stands for Artificial General Intelligence. It refers to a hypothetical type of AI that possesses human-like intelligence and the ability to learn and solve any intellectual task that a human can. In other words, an AGI would be able to understand and process information, reason, learn, and adapt to new situations, just like humans do.

language model is a powerful tool that can process and generate human-like text. Think of it as a kind of AI super-linguist, trained on massive amounts of text data to understand the nuances of language and communicate effectively.