توضیحات
In the realm of artificial intelligence, the exploration of knowledge-based text generation stands as a captivating endeavor. This work delves into the intricate mechanisms that underpin how machines can produce coherent and contextually relevant text. Mark T. Maybury, a prominent voice in the field, guides readers through the complexities of language models and their application across various domains.
With a focus on both theory and practical implementation, the book examines the challenges and advancements in creating systems that can understand and generate human-like language. Maybury's insights reveal not just the technical aspects but also the implications of these technologies, inviting readers to ponder the profound impact they may have on communication, creativity, and information dissemination in our rapidly evolving digital landscape.
With a focus on both theory and practical implementation, the book examines the challenges and advancements in creating systems that can understand and generate human-like language. Maybury's insights reveal not just the technical aspects but also the implications of these technologies, inviting readers to ponder the profound impact they may have on communication, creativity, and information dissemination in our rapidly evolving digital landscape.
جزئیات کتاب
فرمت
جلد نرم
زبان
انگلیسی
منتشر شده
Jan 1, 1989
ناشر
PN