Decoding AI: Your A-Z Guide to Artificial Intelligence
The language of artificial intelligence can be complex and intimidating. This glossary was created to change that. It is a comprehensive list of definitions for the terms, acronyms, and core concepts you will encounter in AI, machine learning, and generative media, designed to be a clear and reliable resource.
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Midjourney
Explore MidJourney, the powerful AI image generator. Create detailed visuals from text, see pricing, features, and how it stacks up to competitors.
Key Takeaways
- Images are available to other users so you cannot generate business designs
- Images are available to other users so you cannot generate business designs
Pros
- Gives fine-tuning features to artists
- Gives fine-tuning features to artists
Cons
- No free trial
Microsoft Copilot Designer
Here’s an image showcasing Microsoft Copilot Studio, the interface where users design and manage intelligent agents—an essential element in understanding how Mi
Key Takeaways
- AI-generated visuals save time and elevate design quality, especially useful for professionals and casual users alike
- Microsoft Copilot Designer refers to the creative
Pros
- Wider rollout of Designer integration in PowerPoint and other apps by March 2025.
- Microsoft Copilot Designer refers to the creative
Cons
- Wider rollout of Designer integration in PowerPoint and other apps by March 2025.
DALL-E 3
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Key Takeaways
- ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat.
- ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat.
Pros
- Zurückweisung einer Lust dafür eine grössere erlange oder durch Uebernahme gewisser Schmerzen sich grössere erspare.
- Zurückweisung einer Lust dafür eine grössere erlange oder durch Uebernahme gewisser Schmerzen sich grössere erspare.
Cons
- ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat.
Stable Diffusion
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Key Takeaways
- It can create images in several artistic styles from sketches to paintings to hyper-realistic photos
- It can create images in several artistic styles from sketches to paintings to hyper-realistic photos
Pros
- Extremely easy to use, just enter text prompts to generate images
- Extremely easy to use, just enter text prompts to generate images
Cons
- Images are available to other users so you cannot generate business designs
Scribd
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Key Takeaways
- Why Lorem Ipsum?
- Why Lorem Ipsum?
Pros
- If the project is complete but looking only half finished, try some Lorem ipsum
- Why Lorem Ipsum?
Cons
- If the project is complete but looking only half finished, try some Lorem ipsum
Featured*
DALL-E 3
Midjourney is an AI tool that transforms text prompts into stunning, artistic images.
Midjourney
Midjourney is an AI tool that transforms text prompts into stunning, artistic images.
Stable Diffusion
stable diffusion is an AI tool that transforms text prompts into stunning, artistic images.
Microsoft Copilot Designer
Microsoft Copilot Designer refers to the creative, visual side of Microsoft’s AI Copilot ecosystem.
A
Abductive Logic Programming (ALP)
Abductive Logic Programming (ALP) is a high-level knowledge representation framework that uses abductive reasoning to find the best or simplest explanations for a given set of observations. Unlike traditional programming which follows predefined steps, or standard logic programming which deduces consequences from known facts, ALP works backward from an effect (an observation) to find a plausible cause (a hypothesis).In essence, if Deduction is reasoning "if A is true, then B is true," Abduction is reasoning "B is true, so A was probably true." ALP formalizes this "inference to the best explanation" within the rigorous structure of logic programming. Read More »
B
Backpropagation
It is an efficient application of the chain rule to neural networks. Backpropagation computes the gradient of a loss function with respect to the weights of the network for a single input–output example, and does so efficiently, computing the gradient one layer at a time, iterating backward from the last layer to avoid redundant calculations of intermediate terms in the chain rule; this can be derived through Read More »