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The Evolution of AI Language Models
This chapter examines the progression of AI language models, highlighting key innovations like Word2Vec and the transition from traditional task-specific methods to multimodal approaches. It discusses the implications of contextualized vectors and transformer architectures, as well as the challenges of integrating NLP tasks with examples from personal research experiences. The chapter also addresses the rise of controllable text generation models and the ethical considerations surrounding their applications.
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