This article traces the technical evolution of generative AI from early probabilistic models like Markov chains to modern transformer architectures. Learn how breakthroughs in neural networks, GANs, and attention mechanisms shaped today's AI capabilities-and the challenges still ahead.
Read MoreLarge language models power today’s AI assistants by using transformer architecture and attention mechanisms to process text. Learn how they work, what they can and can’t do, and why size isn’t everything.
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