Whether it’s the automatic phone feeding or helping someone to create a new recipe with some words, artificial intelligence (AI) is right now. But if you are still nodding when someone mentions “neural networks” or “and generative” you are not alone.
Today I am breaking up five terms of the IA BRUNZITS you have probably seen in headlines, group chats or application updates, except for technological conversation. Understanding these basic concepts will help you talk about the AI, even if you are not a programmer.
Stay tuned In this series As we delve into technological terms related to privacy and other essential concepts, answering the main questions we get from readers like you.
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Visual illustration of the Ia (Kurt “Cyberguy” Knutsson)
1. Artificial intelligence (AI)
The great umbrella
Artificial intelligence It is a broad term for computer systems that can do tasks that usually require human intelligence. It includes understanding language, recognizing images, making decisions and even learning from experience.
You are using AI when:
- Your email suggests answers
- Your phone transcribes your voice
- Netflix recommends what to see after
Think about AI as the category; Everything else of this list is a branch. It is the foundation of all the smart tools we use today, from voice attendees to facial recognition. As AI continues to evolve, it has the power to facilitate everyday, faster and more personalized tasks. But as it incorporates in our lives, understanding the basic foundations is key to using it wisely and protecting your digital autonomy.
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2. Automatic Learning (ML)
As AI learns patterns
Automatic learning It is a type of IA that is learned from data instead of explicitly programming. It improves over time finding patterns and making predictions.
For example: You like action movies. You see a few. Over time, the algorithm learns your preferences and recommends similar titles, even if you have not said anything directly.
ML common uses:
ML is like ai “gets smarter” in itself and it is a large part of how technology becomes more useful and intuitive. From capturing suspicious charges to your credit card to cure your favorite music, learning machines can make life more perfect and even safer. But, as in any technology, it is important to keep it aware of how your data is used and who does learning. The more we understand how it works, the better we can decide how and when we trust it.
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3. Neural network
The technology that mimics your brain
Neural networks They are a special type of automatic learning designed to mimic the functioning of the human brain, at least fluently. They are made up of layers of “neurons” that process the data and make decisions.
They are especially good for recognizing complex patterns, such as identifying faces in photos or translating languages.
Use cases include:
- Face ID unlocking the phone
- Speech applications to text
- Real -time text translation
If the AI is the brain, the neural networks are the brain cells that do the job. Neural networks are the part of the AI that really processes information. They are designed to mimic the operation of human brains, take data, learn patterns and make decisions. So, when ai recognizes a face, write a sentence or make a suggestion, neuronal networks make them pass between racks.
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Illustration of humans and automatic learning (Kurt “Cyberguy” Knutsson)
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4. Ai generative
And that he creates, not only predicts
And generative Not only analyzes the data, it creates new things: text, images, videos, code, music, even voices. It is made up of large amounts of content and learns to generate something new that mimics the original.
You have seen it in action if you used it:
- Chatgpt or Similar Boats to write messages
- Ai generators of art like Midjourney or Dall · e
- Subtitles generated by automatic or copy of social networks
It’s like giving a machine a vibration and seeing -inventing something that fits. The AI is creative, fast and sometimes non -realistic, which is what makes it exciting and a little disturbing.
Do you think you can know the difference?
Ensure –vo do —ho Play my game to guess which photo is ai and which one is real. It is harder than you think and a good reminder that as these tools are moving forward, keeping and reporting is more important than ever.
What is artificial intelligence (AI)?
Find the fake kitten. (Kurt “Cyberguy” Knutsson)
Find the fake: Kittens
5. Prompt
The magical words that make the AI work
A prompt It is the entry you give to a AI system, usually a question, order or description. It’s like talking to tools like Chatgpt or image generators.
The better your message, the better the result.
Examples:
- “Write a Shakespeare’s style birthday message”
- “Create a recipe with just chickpeas and chocolate”
- “Make a picture of a robot for coffee in Paris, the 1920’s style”
) Of the sources They are alas what questions are on Google, but with more creativity and conversation. Unlike a search engine that simply points to the existing content, the IA can generate completely new ideas, images and text based on what you ask. It is more than a search box; It is a creative tool. Whether you are writing a story, designing a logo or planning a holiday, learning to promote -you effectively allow you to take advantage of the full potential of AI as a collaborator, not just a source of information.
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Kurt’s Key Takeaways
You don’t need a computer title to understand the AI, just a few solid definitions. Since Automatic learning And neural networks in IA and generative directions, these tools are no longer reserved for technology laboratories; Are passing some of your daily life. Whether it helps you to write an email, organize your photos or get dinner ideas based on what is in the fridge, alas already works between racks to make life easier (and sometimes much more interesting).
Now that you have the lingo down, you will be better equipped to browse the confidence and curiosity in the AI world.
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