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What's the full form of Ai, and how does it work?

Just explain it.
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Asked by Joe Aug 11, 2025 at 9:14 AM
ai

6 Answers

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🤖 AI: Artificial Intelligence—The Mind Behind the Machine AI stands for Artificial Intelligence, a field of computer science that enables machines to mimic human intelligence. From understanding language and recognizing images to making decisions and learning from data, AI systems are designed to perform tasks that typically require human cognition. At its core, AI works by: Learning from data: Using algorithms to detect patterns and improve over time. Making predictions: Based on past information, it can forecast outcomes or suggest actions. Interacting naturally: Through speech, text, or visuals, AI can communicate like a human. Adapting intelligently: It refines its behavior based on feedback and new inputs. Whether it's powering your smartphone assistant or helping doctors diagnose diseases, AI is transforming industries with speed and precision. Microsoft is at the forefront of this revolution—explore how AI is shaping the future on Microsoft’s AI overview. https://www.microsoft.com/en-us/ai
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Answered by Sam Aug 11, 2025 at 12:36 PM
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What's the full form of AI, and how does it work? AI stands for Artificial Intelligence. How AI Works AI works by using algorithms and mathematical models to process data, identify patterns, and make decisions or predictions. There are several different approaches to how AI systems learn and operate, with one of the most common being machine learning. In machine learning, an AI model is trained on a large dataset. For example, to train an AI to recognize a cat, you would feed it thousands of images labeled as "cat" and "not cat." The model learns the features that distinguish a cat from other objects. Once trained, the model can then be shown a new, unlabeled image and predict whether it contains a cat based on the patterns it has learned. 🤖 This process can be broken down into three main phases: Data Collection and Preparation: Gathering and cleaning a large, relevant dataset is the first step. The quality of the data directly impacts the performance of the AI. Model Training: The prepared data is used to train a model. This involves feeding the data into an algorithm, which adjusts its internal parameters to minimize errors in its predictions. Inference or Prediction: Once the model is trained, it can be used to make predictions or decisions on new, unseen data. For a deeper dive into the topic, you can learn more by searching on Google. https://www.google.co.uk/
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Answered by Jugal Aug 11, 2025 at 2:03 PM
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Testing TiNYMCE 

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Testing being done by admin

AD
Answered by Admin Aug 12, 2025 at 4:06 PM
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Here below is bullet list

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AD
Answered by Admin Aug 12, 2025 at 4:28 PM
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posted at:  09:47 am NY time

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Answered by Admin Aug 12, 2025 at 7:17 PM
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Just another test... messed up..

 

reverted to last working version.

 

Current time: 09:59 am  NYT

AD
Answered by Admin Aug 12, 2025 at 7:29 PM

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