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Over the past decade, AI has ceased to be a futuristic buzzword and has become the silent engine that drives the services, devices and applications we use from the moment we wake up until we fall asleep.
It started innocently enough with voice assistants Siri, Google Assistant or Amazon Alexa - but the biggest revolution came with large language models (LLMs), which have changed the way we work, create content and solve problems in just a few years since ChatGPT's launch.
ChatGPT - a leader in everyday use
OpenAI's COO, Brad Lightcap, revealed on his profile on the X platform that ChatGPT has surpassed 400 million weekly active users this year, meaning that 5% of the world's population is currently using it.
On top of that, more than 2 million business users don't part with ChatGPT every day at work, making this large language model the most popular for daily use in a short period of time. Which ones? Let's list here just a few of the most important areas with AI support:
- at work - creating reports, analyzing documents, writing e-mails,
- In education - explaining complex issues, helping with language learning,
- In programming - generating and debugging code in different languages,
- in content creation - from articles to scripts to social media posts.
Meta Llama - an open alternative with a billion-dollar reach
The Llama model from Meta has reached one billion downloads this year, becoming one of the most popular open language models. The latest version of Llama 4, offers local installation and customization.
Where is the model being used in the context of everyday applications? Let's just mention the all-too-familiar music streaming service Spotify, where Llama has been harnessed to improve its algorithm for recommending new songs, artists, podcasts and audiobooks that we listen to on a daily basis.
Llama is also used in scientific data analysis, research support, language modeling in linguistics and translation of complex scientific texts. The model also recently appeared in one of the world's most popular instant messengers, Facebook Messenger.
Google Gemini - a comprehensive assistant in the Google ecosystem
Google Gemini is an advanced AI model that can simultaneously interpret and analyze different types of information: text, image and audio. Thanks to its tight integration with the Google ecosystem, Gemini works seamlessly with Google Search, YouTube, Gmail, Google Maps and other services we use every day.
Also worth mentioning here is Gemini Live on mobile devices, which enables natural voice conversations with AI, brainstorming or interactive learning. The model can transform any file into a podcast that can be listened to anywhere, and create images based on a few words. And the recently released Google Canvas service will also assist in learning to code.
Voice assistants - from simple commands to advanced conversations
And let's not forget the voice assistants with which this revolution began. Siri, Google Assistant (Gemini) or Amazon Alexa, are responsible for billions of queries per month all the time, and their role is now evolving thanks to LLM - by working with large language models, they can offer more natural and contextual answers.
We use them on a daily basis because they are convenient for hands-free use, such as when cooking (recipes or ingredients needed) or when driving (route determination). Voice assistants will also create us instant notes and reminders or manage and control the smart home.
The penetration of the smart home market in Poland is expected to increase from about 15% of households today to 28.4% in 2028.Smart lighting, thermostats that learn the schedules of householders, cameras with facial recognition or cleaning robots are examples of everyday devices already imbued with AI today
Smartphones - a pocket computer with AI
Banking and finance driven by AI
Our phones are true centers of artificial intelligence. AI in smartphones helps optimize batteries, personalize recommendations and recognize images. These systems analyze our usage habits to tailor the device's performance to our needs - from automatically adjusting screen brightness to suggesting the most appropriate apps at any given time.
Smart features such as Circle to Search, for example, allow you to circle any object on the phone screen with your finger and automatically search for information about it. AI in phones also supports speech recognition and natural language processing, enabling transcription of voice notes or real-time translation.
Artificial intelligence in banking automates processes, personalizes services and increases the security of our financial transactions. Anti-fraud systems analyze transaction patterns to look for irregularities, automated investment advice offers recommendations based on data analysis, and chatbots provide 24/7 customer service.
And in credit analysis, AI automatically assesses customers' creditworthiness by analyzing their financial history, income stability and consumer habits. This allows banks to make faster credit decisions, with the number of positive decisions increasing by up to two percentage points compared to traditional methods.
Autonomous transport - the future of mobility
Although fully autonomous vehicles are just entering the market, AI in transportation is already supporting us on the roads. Automatic braking, traffic sign recognition and parking assistance systems use advanced algorithms to analyze the environment and make real-time decisions.
Autonomous vehicles use artificial intelligence, machine learning and computer vision to interpret data from LIDAR sensors, radar and cameras. AI analyzes sensor data, recognizes objects, predicts the behavior of other traffic participants, and optimizes routes while minimizing human errors that are a major cause of accidents.
AI-assisted medicine and diagnostics
Artificial intelligence in employee recruitment
Artificial intelligence in medicine assists doctors in diagnosis, analyzing medical images and developing personalized treatment plans. AI algorithms can analyze X-rays, CT scans and MRIs, often detecting abnormalities with an accuracy that surpasses human specialists.
Clinical decision support systems analyze huge databases of medical literature to help make diagnostic decisions. AI can also predict the development of diseases based on biomarkers or voice analysis - some applications can recognize early signs of dementia through speech analysis.
One of the most dynamic areas of application for artificial intelligence is the employee recruitment process. Artificial intelligence is fundamentally transforming the way companies source talent, leading to the automation of time-consuming tasks and significant improvements in the efficiency of the entire hiring process.
Mention can be made, for example, of automatic screening of submitted resumes, which represents a breakthrough in the first stages of recruitment - AI algorithms can analyze thousands of applications in seconds, identifying the candidates best suited to the requirements of the position.
Recruitment chatbots, on the other hand, automate communication with candidates, conducting initial interviews available 24/7 and answering basic questions about the recruitment process, significantly streamlining the next steps.
Personalized education through AI
Cyber security with AI in the role of watchdog
Artificial intelligence in education enables personalization of the learning process. AI systems analyze students' progress, learning styles and preferences, customizing learning materials. Adaptive learning systems can automatically adjust the difficulty level of tasks or offer additional supporting materials.
Artificial intelligence in cyber security automates threat detection, analyzes network traffic and identifies anomalies. AI systems can predict potential security breaches and automatically respond to security incidents in real time.
AI also helps detect phishing attempts by analyzing email patterns and identifying suspicious links, while advanced machine learning algorithms can also identify malware and unusual online behavior.
Artificial intelligence in employee recruitment
One of the most dynamic areas of application for artificial intelligence is the employee recruitment process. Artificial intelligence is fundamentally transforming the way companies source talent, leading to the automation of time-consuming tasks and significant improvements in the efficiency of the entire hiring process.
Mention can be made, for example, of automatic screening of submitted resumes, which represents a breakthrough in the first stages of recruitment - AI algorithms can analyze thousands of applications in seconds, identifying the candidates best suited to the requirements of the position.
Recruitment chatbots, on the other hand, automate communication with candidates, conducting initial interviews available 24/7 and answering basic questions about the recruitment process, significantly streamlining the next steps.
The future is already here
Artificial intelligence is no longer a technology of the future - it's a reality that makes our lives easier every day. From advanced language models like GPT, Gemini and Llama, to revolutionary recruitment tools, personalized educational recommendations, smart homes and advanced medical diagnostics - as seen above, AI is already discreetly supporting us in countless situations. While we are not yet all able to take full advantage of the benefits of AI in our daily lives, this technology is constantly evolving, becoming more intuitive and accessible.
This digital revolution has only just begun, but as the technology continues to develop, we can expect to see even more integration of AI into our daily lives, making many activities more efficient.
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