Photo by Editor | Chat GPT
. Introduction
Everyone talks about Artificial intelligence – The purpose of this article is Take the direction of the latter, And in simple terms explain what AI is, its abilities and limits, and Something Key area Or building blocks Who are part of AI today.
. What is AI? Abilities and limits
AI is a branch of computer science that is focused on Computer System Development to imitate human or animal intelligence skills to solve a particular issue or task. Depending on the specific AI system, they can imitate intelligent traits, they include reasoning, forecasting future or unknown facts, visual impression, communicating with humans or other AI systems, and interacting with the environment, naming some names.
Most of the modern AI system has a significant ability, which practically presents all the aforementioned skills. Learn from data. Just as a toddler who learns to observe and examples of anything (words, photos, functions, etc.), the AI ​​system learns from many examples of statistics to perform complex tasks such as predictions, individuality, human language communication, and much more.
Something can be surprised to hear this AI is not the invention of the 21st centuryIn fact, this field was born in the middle of the last century. However, this thanks to the progress in learning from the figures-and thanks to the progress in counting and the availability of data-that AI has experienced its biggest progress over the past decade and a half, in which Chat GPT, such as productive and language models, are a clear example of modern, high effects.
But AI also has its own limits: It does not really “understand” the world like a human being (everything is understood and dealt with with mathematics, so to speak!), If it has learned from poor quality data, and usually struggles with tasks that require intellect or human sensitivity. The need for extensive data and computing power also costs greater.
. Ai area
Let us outline important areas of AI and some important points to get a better understanding of them.
Artificial intelligence sector and joint symbolic relationships between them | Picture by the writer
- In the early years of AI, Representation and reasoning of knowledge There were active research articles, focusing on the construction of software programs that could conclude the real world’s real world facts and knowledge representing the machine. Most logic among autonomous agents (sometimes applied in it) Robotic System Capable of interacting with the real world) these techniques, and depends on the recent height Agentk AI The solution is raising interest in this sub -domain.
- Machine learning Currently, AI is the most wide -ranging area: almost every modern AI system uses the approach to learning from data from data such as solving a task, predicting prices or future sales, recommending products to consumers, and much more.
- Learn deep The machine is like a “manufactured form” of learning: large and more complex systems that learn from many datases to deal with more difficult tasks. Interestingly, Computer vision And Natural language processing Applications – such as recognizing objects and talking with humans – has recently been resolved mainly using a deep learning system, so their close relationships.
- So, where do the latest trends do? Generative A. And Language model (LLMS) Sitting down, these systems are largely deep learning architecture that has taken the next level.
What this AI was a comprehensive, soft introduction. Hope you enjoyed it!
Ivan Palomars Carcosa AI, Machine Learning, Deep Learning and LLMS is a leader, writer, speaker, and adviser. He trains and guides others to use AI in the real world.