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AI systems that understand and generate human-like text
Revolutionary AI
Large Language Models (LLMs) like GPT-4, Claude, and Gemini have transformed AI from a specialized tool into a general-purpose assistant. These models can write, code, analyze, translate, and reason across a vast range of tasks—often with human-level or superhuman performance.
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Attention mechanism architecture
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Generative Pre-trained Transformers
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Next-gen language models
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Customizing models for tasks
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Getting better outputs
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Retrieval-Augmented Generation
The breakthrough that enabled modern LLMs was the transformer architecture, introduced in 2017's "Attention is All You Need" paper. By using attention mechanisms to process text in parallel rather than sequentially, transformers enabled training on massive datasets and scaling to billions of parameters.
Learn to integrate and build applications powered by large language models.