Large language models (LLMs) are machine learning models that can comprehend and generate human language text. They work by analyzing massive data sets of language. They can be used for text generation, a form of generative AI, by taking an input tex...Loe edasi...
This book starts with discussions over how large language models are used in healthcare and the opportunities we have to change portions of the healthcare paradigm. There are amazing opportunities to save both time as a business unit as well as im...Loe edasi...
The contributors to this book delve into the playful and performative nature of translations that embrace ambiguity, confusion, and even failure. Can DeepL and ChatGPT translate Shakespeare? The recent developments in AI present a timely oppo...Loe edasi...
This book presents the basics and recent advancements in natural language processing and information retrieval in a single volume. It will serve as an ideal reference text for graduate students and academic researchers in interdisciplinary areas o...Loe edasi...
Master LLM fundamentals to advanced techniques like RAG, reinforcement learning, and knowledge graphs to build, deploy, and scale intelligent AI agents that reason, retrieve, and act autonomously Key Features Implement RAG and...Loe edasi...
Unlock the power of Natural Language Processing with Haystack. Learn to design, build, and deploy production-ready NLP pipelines leveraging Large Language Models for diverse applications. Key Features Understand, select, and op...Loe edasi...
Sari: River Publishers Series in Rapids in Computing and Information Science and Technology
(Ilmumisaeg: 26-Jun-2025, Paperback / softback, Kirjastus: River Publishers, ISBN-13: 9788770048293)
This is a comprehensive natural language processing (NLP) guide, covering key techniques like sentiment analysis, machine translation, and named entity recognition. It explores deep learning models, and practical applications in multiple sectors,...Loe edasi...
Explore reusable design patterns, including data-centric approaches, model development, model fine-tuning, and RAG for LLM application development and advanced prompting techniques Key Features Learn comprehensive LLM developme...Loe edasi...
Applying Natural Language Processing (NLP) concepts to help humans in their daily life, this book discusses an automatic translation of an unstructured Natural Language Question (NLQ) into a Structured Query Language (SQL) statement. Using SQL as...Loe edasi...
Go beyond foundational LangChain documentation with detailed coverage of LangGraph interfaces, design patterns for building AI agents, and scalable architectures used in productionideal for Python developers building GenAI applications Ke...Loe edasi...
This book introduces the basic concepts of Natural Language Processing (NLP) along with a wide variety of applications of NLP across 15 industry verticals. Practical examples containing tools, techniques and Python code are included alongside the ba...Loe edasi...
Computational linguistics, speech processing, natural language processing and languagetechnologies in general have all become increasingly important in an era of all-pervadingtechnological development.This book, Human Language Technologies – The Balt...Loe edasi...
The last few decades have seen impressive improvements in several areas of Natural Language Processing. Nevertheless, getting a computer to make sense of the discourse of utterances in a text remains challenging. Several different theories which aim...Loe edasi...
This textbook provides a contemporary and comprehensive overview of Natural Language Processing (NLP), covering fundamental concepts, core algorithms, and key applications such as AI chatbots, Large Language Models and Generative AI. Additionally,...Loe edasi...
