SocraSynth: Socratic Synthesis with Multiple Large Language Models --- Principles and Practices

This book chronicles the evolution of artificial intelligence (AI) over the past three decades, tracing its progression from expert systems through model-based and data-centric approaches to the current emphasis on context-aware models. It delves into the concept of similarity measurement, a fundamental aspect of AI that intersects with various disciplines, including linguistics, computer science, psychology, and physics. The narrative explores the advancements in AI and the increasing...
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This book chronicles the evolution of artificial intelligence (AI) over the past three decades, tracing its progression from expert systems through model-based and data-centric approaches to the current emphasis on context-aware models. It delves into the concept of similarity measurement, a fundamental aspect of AI that intersects with various disciplines, including linguistics, computer science, psychology, and physics. The narrative explores the advancements in AI and the increasing complexity of similarity measurement, offering insights into how these developments have shaped the field. Additionally, the book speculates on the future of AI, particularly in light of ongoing advancements in large language models (LLMs), providing a comprehensive overview of the field's past, present, and potential future.