Generative AI: How does it work and what can it be used for?
Generative artificial intelligence (GenAI) is a groundbreaking technology that can write text, create images, compose music, and generate programming code. Sounds like science fiction? Perhaps, but it's our current reality, and it's already within our reach. We can use it in science, business, and art—and that's just the beginning! In this article, we'll explore how GenAI works, how to use it, and what to watch out for.
GenAI has been developing at a rapid pace in recent years. More and more tools are becoming available to everyday users, meaning anyone can explore its capabilities. It facilitates the automation of repetitive tasks, fosters creativity, and saves time.
How does generative AI work?
Simply put, generative AI is an advanced program that learns from massive datasets known as Large Language Models (LLMs). This allows it to predict the next words in a sentence, generate realistic images, and assist us in many other tasks. Popular models like GPT or Imagen (for creating graphics) analyze vast amounts of information and generate new content based on it. How exactly does it work?
- Data Science – AI analyzes millions of examples to understand patterns and relationships.
- Attention Mechanisms – focuses on the most important elements of text or images.
- Fine-Tuning Models – can be trained for specific tasks, such as translations or product descriptions.
- Prediction – AI doesn't copy content, but predicts what should appear next.
- User Interaction – AI learns from our input and adapts its responses.
How to communicate effectively with AI?
For generative AI to work well, we need to know how to ask it questions appropriately. This is called prompt engineering—the art of formulating queries to get exactly what we need. A few tips for effective prompting:
- Provide context – for example, instead of "Write an article about dogs," try "Write an engaging article about how dogs affect human mental health."
- Define the style – "Write it in simple language" or "Prepare a professional report."
- Ask specific questions – the AI works better when it knows exactly what you want.
- Provide examples – if you want a specific style, show the AI an example.
- Test and improve – sometimes it's worth changing the query to get a better result.
Below, we present a classification of prompting methods. Depending on your needs and capabilities, you should choose the one that best handles your query.
- Few-shot prompting – Creating prompts based on several examples of solving a similar problem.
- Zero-shot prompting – Creating prompts without using any examples.
- One-shot prompting – Creating prompts using a single example.
- Prompt chaining – Using the result of one prompt as context for the next command.
- Prompt chaining – Chain of thoughts – A chain of thoughts in which a sequence of actions is handled by a single, more complex prompt.
What can generative AI be used for?
Generative AI finds applications in a wide range of areas, from simple everyday tasks to complex research projects. Depending on the needs, it can act as an assistant, content creator, or analytical tool. It opens up entirely new possibilities for creators, programmers, and specialists in various industries, automating repetitive tasks and increasing work efficiency.
- Content writing and editing – from articles to film scripts.
- Graphics creation – AI can generate illustrations and posters.
- Programming – assistance in writing and improving code.
- Data analysis – quick summarization of large data sets.
- Personalization – AI can tailor content to the user, for example, in e-commerce.
- Education – creating notes, summaries, and quizzes.
- Customer service – chatbots and virtual assistants.
AI around us – tools that use it
Artificial intelligence is present in many applications and services we use every day, often without even realizing it. It aids information searches, improves translations, and aids navigation. Here are some popular tools that use AI in practice:
- Google Translate – uses AI to translate text and speech in real time, improving accuracy and naturalness of translations.
- Google Maps – analyzes data and uses AI to predict traffic, suggest routes, and search for places.
- Voice assistants (Google Assistant, Siri, Alexa) – use AI to recognize speech and interact with users.
- Spotify and Netflix – personalize music and movie recommendations based on the user's previous choices.
- Email spam filters – use AI to detect and block unwanted messages. They achieve a 99% success rate.
AI Tools Everyone Can Try
If you're looking to start using generative AI in your daily life, there are many readily available tools that can help with various tasks. Here are a few examples:
- NotebookLM – an AI tool from Google that helps organize notes and generate summaries.
- Perplexity – an intelligent search engine that answers questions more naturally than traditional search engines.
- Grammarly – a writing assistant that improves grammar and style in English.
- Notion – supports work organization and content generation in the popular project management tool.
Each of these tools is intuitive to use and can significantly facilitate everyday work and learning.
What are the risks of generative AI?
While generative AI can provide many benefits, it also carries certain risks that should not be ignored. Used without proper controls, it can contribute to the spread of false information, privacy violations, and disinformation. It's important for users to approach AI responsibly and be aware of its limitations and potential risks. Here are some of them:
Fake news – AI can generate false information that is easily disseminated.
Privacy – Feeding sensitive data into AI can be risky.
Deepfakes – Manipulated images and videos can mislead people.
Algorithmic bias – AI learns from data that may contain biases.
Unpredictability – AI sometimes generates absurd or unexpected responses.
Summary:
Generative AI is a technology that's already changing the world. It can help us in work, learning, and entertainment, but it's worth remembering that it's not perfect. The key to using it effectively is skillful query formulation and awareness of potential risks. If approached with caution, it can become an incredible support in everyday life.
Sebastian Szewczyk
IT consultant at Support Online
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