Understanding conversation through AI and language models
AI for Understanding Human Conversations looks closely at a deceptively difficult problem: how people actually make meaning in dialogue. Yair Neuman approaches that question through large language models, conversation analysis, and related theoretical perspectives, showing why human exchanges are layered, context-dependent, and often nonlinear.
This is a book for readers who want more than a passing overview of AI. Its focus is specific: using LLMs to study conversation, while also asking what human theories of communication can bring back to the technology itself. That combination gives the book real value for anyone interested in the meeting point between artificial intelligence and human language.
What the book explores
- divergent perspectives within a conversation
- framing and how LLMs can be used to interpret it
- memory and the way conversations accumulate meaning over time
- topic shifts, interlocutors, flirtation, ambiguity, and coherence
- examples drawn from everyday dialogue, fiction, and diplomatic settings
A theoretically grounded approach
Neuman does not treat AI as a black box. Instead, he uses conversation as a serious site of analysis and connects the technology to ideas from linguistics, pragmatics, psychology, and the humanities. The result is a thoughtful, interdisciplinary study that is especially useful for readers who want to understand both the promise and the limits of LLMs in social interpretation.
Who this ebook will suit
This title will appeal to readers working in AI, natural language processing, linguistics, discourse studies, communication, and related research areas. It also has clear relevance for anyone interested in how modern AI tools can support closer reading of human interaction without losing sight of the complexity involved.
If you are looking for a focused academic ebook on AI, conversation, and interpretation, this is a strong and timely choice for the Digital Delights catalogue.
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