The concept of machine learning emerged in the early 1950s with Alan Turing's question "Can Machines Think?" and the term "artificial intelligence" was first used by computer scientist and cognitive scientist John McCarthy at the 1956 Dartmouth Conference, the first conference on artificial intelligence.
In its simplest form, artificial intelligence can be expressed as an operating system that enables machines to perform human-like tasks by imitating human intelligence and improving itself through repetition of information. Artificial intelligence studies are not limited to imitating human thinking methods, but also aim to develop artificial methods. In addition, AI is creating new trends toward the concept of an artificial intelligence that can learn and evolve independently of human intelligence in the future.
Artificial intelligence is based not only on data, but also on algorithms. An algorithm is the process of solving a problem or achieving a result in the fastest way by applying well-defined rules and procedures step by step. All programming languages are algorithm-based. An algorithm is a step-by-step representation of the behavior that solves a problem, the commands that do the basic work. This is the way artificial intelligence works.
The use of artificial intelligence has become widespread with today's ever-evolving technology. The reason for this is that in recent years, thanks to technological advances in data collection, storage, sharing and processing capabilities, many methods and more complex applications that could not be practically applied in the past have become feasible today. Artificial intelligence, which is used in many fields and provides many benefits, seems to maintain its popularity for a long time.
Artificial Intelligence AI allows for gains in many areas by analyzing large amounts of data, with all these applications at the service of humanity.
It is a system that allows us to perform tasks that a human would do in less time with more data, making our lives easier. Artificial intelligence is present in our daily lives with voice assistants, language translation, suggestion systems, navigation, social security, health services, e-commerce, and assistant robot applications.
The most commonly used terms in the "artificial intelligence" field are as follows;
Data is the foundation of AI and machine learning. Data is a set of values of qualitative or quantitative variables about one or more people or objects.
It is the process of solving a problem or achieving a result in the fastest way by applying well-defined rules and processes step by step.
Machine learning is a data analysis method that automates the building of analytical models. It is a subset of artificial intelligence based on the idea that systems can learn from data, identify patterns, and make decisions with minimal human intervention.
Deep learning is a machine learning technique developed to enable computers to perform higher cognitive functions. It involves the use of neural networks, which consist of many layers of artificial neurons. Deep learning is an important element behind image-based artificial intelligence applications, especially autonomous vehicles.
Computing systems inspired by the way the human brain works, with an artificial network built by combining artificial neurons.
It is one of the sub-branches of artificial intelligence that enables interaction between humans and computers using natural languages. Intelligent assistants, which are often used in everyday life, make use of this technology.
Artificial intelligence technology is used in many areas of our lives. It is particularly successful in areas such as natural language processing, image processing, and text analysis. Thanks to the applications and tools that have been developed, AI has become a technology that everyone can use. However, issues such as ethics, security and privacy should also be taken into account.
It should be noted, however, that no matter how much artificial intelligence applications are developed, human involvement will be needed in the majority of professions. For this reason, it is expected that new and different fields of work will emerge with artificial intelligence.
Examples of Artificial Intelligence;
(Generative Pre-trained Transformer 3) GPT-3 is an artificial intelligence language model developed by OpenAI. Using natural language processing technology, this model can write like humans do. GPT-3 is used in many software development and chatbot applications. There are many explanations for the sudden interest in this new model, not the least of which is power and accessibility. The new model is much more powerful than previous versions. Compared to GPT-2, there has been a similar increase in the number of instruction processes and the time to train the model, which requires trillions of calculations. By comparison, an average personal computer would take thousands of years to process the same data. GPT3 means that the model can "reason" much more generally, and therefore be more widely used.
Virtual assistants such as Siri and Alexa, which execute voice commands, are also products of artificial intelligence. Thanks to artificial intelligence technologies such as natural language processing (NLP), machine learning (ML), or deep learning (DL), virtual assistants are able to understand users' natural language commands and determine the correct action. Virtual assistants (VA) are software that perform tasks or services previously performed by humans, based on user questions and requests. They are often used in the same sense as chatbots, but virtual assistants provide a broader range of services. Virtual assistants can interact with users through text or voice. Users can ask virtual assistants questions, give simple instructions such as turning up the music or turning down the heat, ask them to organize their calendars or buy plane tickets. Artificial intelligence is also the technology that suggests what content is more interesting to us on the social media platforms we use.
One of the most popular and productive artificial intelligence programs of recent times is ChatGPT. ChatGPT is a prototype artificial intelligence chatbot developed by OpenAI that specializes in dialogue. ChatGPT uses patterns defined by a wealth of resources and data to create original content that feels like it was created by a human. Launched as a prototype on November 30, 2022, ChatGPT has quickly gained attention for its detailed and comprehensible answers in many areas of knowledge. It can write computer programs, music, tele-games, fairy tales, and student essays. It can answer test questions, write poems and song lyrics, emulate a Linux system, simulate a chat room, play games, and simulate an ATM.
These and many other technological advancements are like a short teaser movie of what technology can offer us in the coming years, and the direction in which technology can really go seems to be completely limited to our imagination for the time being.