Cutting Edge Artificial Intelligence Research: Attention, Transformers, Embeddings, and MLOps
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I explain the core components and recent innovations behind modern large language models—including embeddings, transformer architectures, attention mechanisms, training pipelines, and MLOps—showing how these models are reshaping scientific discovery and political science research while outlining ongoing challenges in reasoning, alignment, compute efficiency, and long-context modeling.