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Free Banking


Free Banking

Author: Lawrence Henry White

language: en

Publisher:

Release Date: 1993


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Drug Information: A Guide for Pharmacists, 7th Edition


Drug Information: A Guide for Pharmacists, 7th Edition

Author: Patrick M. Malone

language: en

Publisher: McGraw Hill Professional

Release Date: 2021-11-19


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Everything pharmacists and pharmacy students need to know about drug information management A Doody's Core Title for 2023! Drug Information: A Guide for Pharmacists provides you with the tools you need to to research, interpret, evaluate, collate, and disseminate drug information in the most effective and efficient manner possible. This trusted resource addresses essential topics such as formulating an effective response and recommendations for information, evaluation of drug literature, the application of statistical analysis in the biomedical sciences, medications and patient safety, investigational drugs, and more. This updated seventh edition also addresses other important issues such as the legal and ethical considerations of providing information, how to respond to requests for information, and how to determine what information should be made available.

Natural Language Processing in Action, Second Edition


Natural Language Processing in Action, Second Edition

Author: Hobson Lane

language: en

Publisher: Simon and Schuster

Release Date: 2025-02-25


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Develop your NLP skills from scratch, with an open source toolbox of Python packages, Transformers, Hugging Face, vector databases, and your own Large Language Models. Natural Language Processing in Action, Second Edition has helped thousands of data scientists build machines that understand human language. In this new and revised edition, you’ll discover state-of-the art Natural Language Processing (NLP) models like BERT and HuggingFace transformers, popular open-source frameworks for chatbots, and more. You’ll create NLP tools that can detect fake news, filter spam, deliver exceptional search results and even build truthfulness and reasoning into Large Language Models (LLMs). In Natural Language Processing in Action, Second Edition you will learn how to: • Process, analyze, understand, and generate natural language text • Build production-quality NLP pipelines with spaCy • Build neural networks for NLP using Pytorch • BERT and GPT transformers for English composition, writing code, and even organizing your thoughts • Create chatbots and other conversational AI agents In this new and revised edition, you’ll discover state-of-the art NLP models like BERT and HuggingFace transformers, popular open-source frameworks for chatbots, and more. Plus, you’ll discover vital skills and techniques for optimizing LLMs including conversational design, and automating the “trial and error” of LLM interactions for effective and accurate results. About the technology From nearly human chatbots to ultra-personalized business reports to AI-generated email, news stories, and novels, natural language processing (NLP) has never been more powerful! Groundbreaking advances in deep learning have made high-quality open source models and powerful NLP tools like spaCy and PyTorch widely available and ready for production applications. This book is your entrance ticket—and backstage pass—into the next generation of natural language processing. About the book Natural Language Processing in Action, Second Edition introduces the foundational technologies and state-of-the-art tools you’ll need to write and publish NLP applications. You learn how to create custom models for search, translation, writing assistants, and more, without relying on big commercial foundation models. This fully updated second edition includes coverage of BERT, Hugging Face transformers, fine-tuning large language models, and more. What's inside • NLP pipelines with spaCy • Neural networks with PyTorch • BERT and GPT transformers • Conversational design for chatbots About the reader For intermediate Python programmers familiar with deep learning basics. About the author Hobson Lane is a data scientist and machine learning engineer with over twenty years of experience building autonomous systems and NLP pipelines. Maria Dyshel is a social entrepreneur and artificial intelligence expert, and the CEO and cofounder of Tangible AI. Cole Howard and Hannes Max Hapke were co-authors of the first edition.