learning, «encouragements» are often referred to as «rewards,» and «punishments» are called «penalties» or «negative rewards.»
The model aims to maximize the sum of received rewards (or minimize the sum of penalties) during its training process.
Context Adaptation: Language models do not merely «memorize» words, but they also understand the context in which they are used.
This helps them better interpret queries and generate more accurate responses. For instance, if you are reading a book about space and ask a friend, «How many more planets do you think they will find?» your friend understands that you are talking about celestial planets.
But if you are reading a book about ancient Greece and ask the same question, your friend might think you are referring to gods or mythological characters.
In the same way, language models strive to understand the context of your queries. If you ask the model, «Which poison?» after discussing plants, it is likely to assume that you are talking about poisonous plants.
But if this question is asked after discussing detective novels, the model might think the conversation is about poison used in crimes.
In this era of digitization and automation, the ability of machines to learn, adapt, and evolve is key.
As language models become increasingly advanced, their potential grows, opening new opportunities for business and society as a whole.
In today’s world, where technology literally surrounds us, language models have already become a part of our lives.
Smart Assistants: Siri from Apple, Google Assistant from Google, Alexa from Amazon – these are examples of smart assistants that use language models to process your voice commands and provide responses.
Here’s my personal experience of receiving help. I got not only pleasure but also concrete assistance!
One evening, as I was preparing dinner, I encountered a problem. I wanted to cook a special dish, carbonara, but I forgot the key ingredients.
My hands were covered in flour, and I couldn’t pick up my phone to check the recipe. In desperation, I remembered my smart assistant.
«Hey Siri,» I began, feeling my heart race, «how do I cook carbonara?»
A moment of silence, and then Siri’s soft voice filled the kitchen, telling me each step of the recipe.
I followed the instructions, and soon the scent of freshly cooked carbonara filled the room.
That evening, I deeply felt how smart assistants can be useful in our daily lives.
Customer Support Chatbots: Many companies use chatbots for automated customer service on their websites.
Thanks to language models, these bots can understand your requests and provide relevant responses or direct you to the appropriate specialist.
Personal Recommendations: Services like Netflix or Spotify use language models to analyze your preferences and offer personalized recommendations based on reviews and text descriptions.
Educational Platforms: Platforms such as Duolingo use language models to create grammar and style exercises, helping students learn new languages more effectively.
Automatic Text Completion: When your software or application suggests completing your sentence, that is also the result of a language model at work.
All these examples illustrate how language models have become an important tool, making our daily lives simpler and more efficient.
This technology is constantly evolving, and it is possible that its role in our lives will become even more significant in the future.
The capabilities of these virtual assistants, which are based on language models, are astonishing and even a bit mesmerizing. But these assistants are just the tip of the iceberg.
Let’s dive deeper into a world where machines and programs, trained to understand human language, make our lives simpler.
Microsoft Cortana: An integrated assistant in the Windows operating system. It helps the user organize their workflow, reminds them of important meetings, and can even tell a joke upon request.
Therapeutic Bots: Woebot is a chatbot based on the principles of cognitive-behavioral therapy, designed to help people cope with anxiety and depression.
Returning home after a hard day, you feel down and have no one to talk to.
You open an app on your phone and start a conversation with Woebot. It asks you about how you are feeling and suggests strategies to manage your emotions based on cognitive-behavioral therapy.
After talking to Woebot, you feel relief and gain tools to work with your mood.
Woebot’s website can be found at: https://woebot.io/
Shopping Assistants: Chatbots like «Mona» or «Lark» help users find the perfect product or service by analyzing their preferences and asking clarifying questions.
Banking Consultant Bots: Many banks have started using chatbots for initial customer consultations.
Imagine this scenario: you decide to take out a loan to buy a house and approach a bank. Instead of waiting in line or trying to reach an operator, you start a dialogue with a neuro-consultant – a chatbot created based on artificial intelligence.
You ask the bot a simple question: «What documents are needed to get a home loan?».
Thanks to the trained neural network, the bot instantly analyzes your request and provides a precise and understandable list of required documents.
Then you inquire about the interest rate, and the bot, knowing your interest in a home loan, provides up-to-date information on the rates for this type of loan, as well as information about possible promotions and special offers.
When you have a more complex question, such as the procedure for insuring property during the loan period, the bot understands that a live specialist would be better suited to answer this question and instantly redirects your chat to the bank’s loan consultant.
In this way, the use of a neuro-consultant in the bank significantly simplifies and accelerates the process of communicating with clients, helping them quickly and efficiently obtain the necessary information and save their time.
Assistants in Cars: The latest car models are integrated with voice control systems that allow drivers to ask questions, manage multimedia, and even check the weather without being distracted from the road.
Virtual assistants and language models are actively infiltrating every sphere of our lives, making it not only easier but also more interesting, enabling us to interact with technology as naturally as we interact with each other.
Many believe that art and creativity are the exclusive domain of humans, an area where machines could never replace us. However, thanks to language models, the line between human creativity and machine-generated content is becoming blurred.
Literature: OpenAI, the company behind many cutting-edge language models, has presented projects where models generated short stories, poems, and even essays on given topics. Some of these works were so convincing that they impressed even professional writers.
In the chapter about GPT plugins, you will find examples of how books can be created in a matter of seconds, complete with ready-made illustrations and the ability to be instantly published in the Amazon bookstore.
Of course, not everything is smooth sailing; people are reluctant to surrender their positions to artificial intelligence.
The first ones to raise the alarm were Hollywood screenwriters. They expressed concerns that artificial intelligence could take away their jobs.
They also pointed out the threat that artificial intelligence poses if real movies start being made according to its scripts.
They believe that something