???????? ???????????? ?????????? ?????????????????????????? ???? — ????????’?? ???????? ???? ???????????? ?????????? ????????! ??
Everyone talks about AI, but AI is not just "one thing" (and also not just ChatGPT)! Artificial Intelligence is often misunderstood as a single technology, but in reality, it is a hierarchy of methods and approaches, each layer enabling more advanced capabilities. This distinction is crucial for understanding where AI is today — and where it is headed.
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1??????????????????????? ???????????????????????? (????)?– The broadest category, covering automation, reasoning, and decision-making. Early AI was rule-based, but today, it’s mainly data-driven.
2????????????????? ???????????????? (????)?– AI that learns patterns from data without explicit programming. Includes decision trees, clustering, and regression models.
3??????????????? ???????????????? (????)?– A subset of ML, inspired by the human brain, designed for pattern recognition and feature extraction.
4??????????? ???????????????? (????)?– Multi-layered neural networks that drives a lot of modern AI advancements, for example enabling image recognition, speech processing, and more.
5????????????????????????????– A revolutionary deep learning architecture introduced by Google in 2017 that allows models to understand and generate language efficiently.
6??????????????????????? ???? (??????????)?– AI that doesn’t just analyze data—it creates. From text and images to music and code, this layer powers today’s most advanced AI models.
7??????????????????????? ??????-?????????????? ???????????????????????? (??????)?– A specific subset of Generative AI that uses transformers for text generation.
8????????????? ???????????????? ???????????? (??????)?– Massive AI models trained on extensive datasets to understand and generate human-like language.
9?????????-4?– One of the most advanced LLMs, built on transformer architecture, trained on vast datasets to generate human-like responses.
??????????????????– A specific application of GPT-4, optimized for conversational AI and interactive use.
In my view, it's absolutely fascinating to see how AI has evolved from simple rule-based systems to deep learning architectures capable of generating human-like language and creativity.
Over to you! Where do you see AI heading next?