Transformative Natural Language Processing by Akshi Kumar (.PDF)

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Transformative Natural Language Processing: Bridging Ambiguity in Healthcare, Legal, and Financial Applications by Akshi Kumar, Saurabh Raj Sangwan
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Overview: The evolving landscape of technology has presented numerous opportunities for addressing some of the most critical challenges in high-stakes domains such as medicine, law, and finance. These fields, where the stakes are exceptionally high, have increasingly turned to Natural Language Processing (NLP) to manage, interpret, and utilize vast amounts of unstructured linguistic data. The complexities and subtleties inherent in human language pose significant challenges in these sectors, where precision and clarity are paramount. Misinterpretation or ambiguity can lead to far-reaching consequences, making the need for advanced NLP techniques crucial. This book aims to bridge the gap between state-of-the-art NLP technologies and their practical applications in medicine, law, and finance. By focusing on the specific challenges and advancements within these sectors, the publication intends to highlight innovative approaches, methodologies, and technologies that are shaping the future of NLP. The emergence of Large Language Models (LLMs) is revolutionizing the way this evidence is managed and analyzed. LLMs, trained on massive text and code datasets, possess the remarkable ability to not only comprehend human language but also to discern patterns, extract key information, and even generate summaries from various data formats.
Genre: Non-Fiction > Tech & Devices

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