Beyond The Basics Supercharging Llm Reasoning And Coding
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Beyond The Basics Supercharging Llm Reasoning And Coding
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Author : Aarthi Anbalagan
language : en
Publisher: Libertatem Media Private Limited
Release Date : 2024-08-12
Beyond The Basics Supercharging Llm Reasoning And Coding written by Aarthi Anbalagan and has been published by Libertatem Media Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-12 with Business & Economics categories.
Large Language Models (LLMs) are revolutionizing how we interact with artificial intelligence, pushing the boundaries of reasoning, coding, and data-driven innovation. Beyond the Basics: Supercharging LLM Reasoning and Coding offers an in-depth exploration into optimizing these powerful tools for real-world applications. This book equips IT professionals, AI specialists, and senior executives with the knowledge to enhance LLM performance through high-quality data, supervised fine-tuning, and advanced techniques in reasoning and coding. It delves into essential topics such as leveraging proprietary data for strategic advantages, implementing robust fine-tuning frameworks, and overcoming common challenges in model deployment. From refining reasoning capabilities with advanced algorithms to boosting coding competency through targeted training, the book provides actionable insights and step-by-step methodologies. Readers will explore best practices for data collection, ethical considerations in AI deployment, and strategies for scaling LLM applications to meet industry-specific needs. Through real-world case studies and future-focused discussions, the book highlights emerging trends like multi-modal LLMs, real-time monitoring, and AI-driven decision-making. It also addresses key challenges such as data bias, scalability, and regulatory compliance, offering practical solutions for ethical and effective AI implementation. Whether you ' re leading AI initiatives or looking to deepen your expertise in LLMs, Beyond the Basics serves as an indispensable guide to harnessing the transformative power of artificial intelligence in today ’ s competitive landscape.
Natural Language Processing With Pytorch
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Author : Delip Rao
language : en
Publisher: O'Reilly Media
Release Date : 2019-01-22
Natural Language Processing With Pytorch written by Delip Rao and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-22 with Computers categories.
Natural Language Processing (NLP) provides boundless opportunities for solving problems in artificial intelligence, making products such as Amazon Alexa and Google Translate possible. If you’re a developer or data scientist new to NLP and deep learning, this practical guide shows you how to apply these methods using PyTorch, a Python-based deep learning library. Authors Delip Rao and Brian McMahon provide you with a solid grounding in NLP and deep learning algorithms and demonstrate how to use PyTorch to build applications involving rich representations of text specific to the problems you face. Each chapter includes several code examples and illustrations. Explore computational graphs and the supervised learning paradigm Master the basics of the PyTorch optimized tensor manipulation library Get an overview of traditional NLP concepts and methods Learn the basic ideas involved in building neural networks Use embeddings to represent words, sentences, documents, and other features Explore sequence prediction and generate sequence-to-sequence models Learn design patterns for building production NLP systems
Ansible Up And Running
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Author : Lorin Hochstein
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2014-12-08
Ansible Up And Running written by Lorin Hochstein and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-08 with Computers categories.
Among the many configuration management tools available, Ansible has some distinct advantages—it’s minimal in nature, you don’t need to install anything on your nodes, and it has an easy learning curve. This practical guide shows you how to be productive with this tool quickly, whether you’re a developer deploying code to production or a system administrator looking for a better automation solution. Author Lorin Hochstein shows you how to write playbooks (Ansible’s configuration management scripts), manage remote servers, and explore the tool’s real power: built-in declarative modules. You’ll discover that Ansible has the functionality you need and the simplicity you desire. Understand how Ansible differs from other configuration management systems Use the YAML file format to write your own playbooks Learn Ansible’s support for variables and facts Work with a complete example to deploy a non-trivial application Use roles to simplify and reuse playbooks Make playbooks run faster with ssh multiplexing, pipelining, and parallelism Deploy applications to Amazon EC2 and other cloud platforms Use Ansible to create Docker images and deploy Docker containers
Python For Programmers
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Author : Paul Deitel
language : en
Publisher: Prentice Hall
Release Date : 2019-03-15
Python For Programmers written by Paul Deitel and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-15 with Computers categories.
The professional programmer’s Deitel® guide to Python® with introductory artificial intelligence case studies Written for programmers with a background in another high-level language, Python for Programmers uses hands-on instruction to teach today’s most compelling, leading-edge computing technologies and programming in Python–one of the world’s most popular and fastest-growing languages. Please read the Table of Contents diagram inside the front cover and the Preface for more details. In the context of 500+, real-world examples ranging from individual snippets to 40 large scripts and full implementation case studies, you’ll use the interactive IPython interpreter with code in Jupyter Notebooks to quickly master the latest Python coding idioms. After covering Python Chapters 1-5 and a few key parts of Chapters 6-7, you’ll be able to handle significant portions of the hands-on introductory AI case studies in Chapters 11-16, which are loaded with cool, powerful, contemporary examples. These include natural language processing, data mining Twitter® for sentiment analysis, cognitive computing with IBM® WatsonTM, supervised machine learning with classification and regression, unsupervised machine learning with clustering, computer vision through deep learning and convolutional neural networks, deep learning with recurrent neural networks, big data with Hadoop®, SparkTM and NoSQL databases, the Internet of Things and more. You’ll also work directly or indirectly with cloud-based services, including Twitter, Google TranslateTM, IBM Watson, Microsoft® Azure®, OpenMapQuest, PubNub and more. Features 500+ hands-on, real-world, live-code examples from snippets to case studies IPython + code in Jupyter® Notebooks Library-focused: Uses Python Standard Library and data science libraries to accomplish significant tasks with minimal code Rich Python coverage: Control statements, functions, strings, files, JSON serialization, CSV, exceptions Procedural, functional-style and object-oriented programming Collections: Lists, tuples, dictionaries, sets, NumPy arrays, pandas Series & DataFrames Static, dynamic and interactive visualizations Data experiences with real-world datasets and data sources Intro to Data Science sections: AI, basic stats, simulation, animation, random variables, data wrangling, regression AI, big data and cloud data science case studies: NLP, data mining Twitter®, IBM® WatsonTM, machine learning, deep learning, computer vision, Hadoop®, SparkTM, NoSQL, IoT Open-source libraries: NumPy, pandas, Matplotlib, Seaborn, Folium, SciPy, NLTK, TextBlob, spaCy, Textatistic, Tweepy, scikit-learn®, Keras and more Accompanying code examples are available here: http://ptgmedia.pearsoncmg.com/imprint_downloads/informit/bookreg/9780135224335/9780135224335_examples.zip. Register your product for convenient access to downloads, updates, and/or corrections as they become available. See inside book for more information.
Actionable Insights With Amazon Quicksight
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Author : Manos Samatas
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-01-28
Actionable Insights With Amazon Quicksight written by Manos Samatas and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-28 with Computers categories.
Build interactive dashboards and storytelling reports at scale with the cloud-native BI tool that integrates embedded analytics and ML-powered insights effortlessly Key FeaturesExplore Amazon QuickSight, manage data sources, and build and share dashboardsLearn best practices from an AWS certified big data solutions architect Manage and monitor dashboards using the QuickSight API and other AWS services such as Amazon CloudTrailBook Description Amazon Quicksight is an exciting new visualization that rivals PowerBI and Tableau, bringing several exciting features to the table – but sadly, there aren't many resources out there that can help you learn the ropes. This book seeks to remedy that with the help of an AWS-certified expert who will help you leverage its full capabilities. After learning QuickSight's fundamental concepts and how to configure data sources, you'll be introduced to the main analysis-building functionality of QuickSight to develop visuals and dashboards, and explore how to develop and share interactive dashboards with parameters and on-screen controls. You'll dive into advanced filtering options with URL actions before learning how to set up alerts and scheduled reports. Next, you'll familiarize yourself with the types of insights before getting to grips with adding ML insights such as forecasting capabilities, analyzing time series data, adding narratives, and outlier detection to your dashboards. You'll also explore patterns to automate operations and look closer into the API actions that allow us to control settings. Finally, you'll learn advanced topics such as embedded dashboards and multitenancy. By the end of this book, you'll be well-versed with QuickSight's BI and analytics functionalities that will help you create BI apps with ML capabilities. What you will learnUnderstand the wider AWS analytics ecosystem and how QuickSight fits within itSet up and configure data sources with Amazon QuickSightInclude custom controls and add interactivity to your BI application using parametersAdd ML insights such as forecasting, anomaly detection, and narrativesExplore patterns to automate operations using QuickSight APIsCreate interactive dashboards and storytelling with Amazon QuickSightDesign an embedded multi-tenant analytics architectureFocus on data permissions and how to manage Amazon QuickSight operationsWho this book is for This book is for business intelligence (BI) developers and data analysts who are looking to create interactive dashboards using data from Lake House on AWS with Amazon QuickSight. It will also be useful for anyone who wants to learn Amazon QuickSight in depth using practical, up-to-date examples. You will need to be familiar with general data visualization concepts before you get started with this book, however, no prior experience with Amazon QuickSight is required.
Fundamentals Of Software Architecture
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Author : Mark Richards
language : en
Publisher: O'Reilly Media
Release Date : 2020-01-28
Fundamentals Of Software Architecture written by Mark Richards and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-28 with Computers categories.
Salary surveys worldwide regularly place software architect in the top 10 best jobs, yet no real guide exists to help developers become architects. Until now. This book provides the first comprehensive overview of software architecture’s many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Mark Richards and Neal Ford—hands-on practitioners who have taught software architecture classes professionally for years—focus on architecture principles that apply across all technology stacks. You’ll explore software architecture in a modern light, taking into account all the innovations of the past decade. This book examines: Architecture patterns: The technical basis for many architectural decisions Components: Identification, coupling, cohesion, partitioning, and granularity Soft skills: Effective team management, meetings, negotiation, presentations, and more Modernity: Engineering practices and operational approaches that have changed radically in the past few years Architecture as an engineering discipline: Repeatable results, metrics, and concrete valuations that add rigor to software architecture
Fluent Python
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Author : Luciano Ramalho
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2015-07-30
Fluent Python written by Luciano Ramalho and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-30 with Computers categories.
Python’s simplicity lets you become productive quickly, but this often means you aren’t using everything it has to offer. With this hands-on guide, you’ll learn how to write effective, idiomatic Python code by leveraging its best—and possibly most neglected—features. Author Luciano Ramalho takes you through Python’s core language features and libraries, and shows you how to make your code shorter, faster, and more readable at the same time. Many experienced programmers try to bend Python to fit patterns they learned from other languages, and never discover Python features outside of their experience. With this book, those Python programmers will thoroughly learn how to become proficient in Python 3. This book covers: Python data model: understand how special methods are the key to the consistent behavior of objects Data structures: take full advantage of built-in types, and understand the text vs bytes duality in the Unicode age Functions as objects: view Python functions as first-class objects, and understand how this affects popular design patterns Object-oriented idioms: build classes by learning about references, mutability, interfaces, operator overloading, and multiple inheritance Control flow: leverage context managers, generators, coroutines, and concurrency with the concurrent.futures and asyncio packages Metaprogramming: understand how properties, attribute descriptors, class decorators, and metaclasses work
Co Creation In Higher Education
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Author :
language : en
Publisher: BRILL
Release Date : 2019-01-28
Co Creation In Higher Education written by and has been published by BRILL this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-28 with Education categories.
The main purpose of this book is to disseminate new research on co-creative approaches to teaching and learning in Higher Education (HE). The cases presented draw from a Danish cultural and educational context and have a special focus on collaborative, co-creative and distributed perspectives. With this collected volume, we wish to show the diversity of approaches to the concept of co-creation, on the one hand and, on the other, we intend to give a specific direction to these studies, which is humanistic, sociological, creative and pedagogical. The contexts we look at are problem-based and student-led learning, arts-based approaches to higher educational research and teaching, collaborative practices. We believe that these perspectives are still in need of further investigation through theories and practices. We understand co-creation as the process of creative, original and valuable generation of shared meaning and development. This collected volume offers novel empirical documentation and original theoretical reflections on the application of co-creative processes in higher education. This can be directly relevant for educators and the ways in which they design education, but also for students and the ways in which they cope with and manage an ever-changing academic labour market.
Qualitative Secondary Analysis
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Author : Kahryn Hughes
language : en
Publisher: SAGE
Release Date : 2019-12-02
Qualitative Secondary Analysis written by Kahryn Hughes and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-02 with Reference categories.
A comprehensive guide to carrying out Qualitative Secondary Analysis (QSA) that brings together expert advice and professional insight from leading researchers who have developed innovative theories and methods of QSA. Exploring crucial components of research and analysis—such as where to find resources, how to search within a resource, and working with both paper archives and non-textual data—each chapter offers insightful case studies, links to further reading and applied helpful hints and tips to help effectively apply these innovations to further the reader’s own research. A must read for Social Science students, early career researchers and researchers new to the field of QSA, this text will help readers through every aspect of a research process using QSA, from application to implications.
Intelligence Driven Incident Response
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Author : Scott J Roberts
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2017-08-21
Intelligence Driven Incident Response written by Scott J Roberts and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-21 with Computers categories.
Using a well-conceived incident response plan in the aftermath of an online security breach enables your team to identify attackers and learn how they operate. But, only when you approach incident response with a cyber threat intelligence mindset will you truly understand the value of that information. With this practical guide, you’ll learn the fundamentals of intelligence analysis, as well as the best ways to incorporate these techniques into your incident response process. Each method reinforces the other: threat intelligence supports and augments incident response, while incident response generates useful threat intelligence. This book helps incident managers, malware analysts, reverse engineers, digital forensics specialists, and intelligence analysts understand, implement, and benefit from this relationship. In three parts, this in-depth book includes: The fundamentals: get an introduction to cyber threat intelligence, the intelligence process, the incident-response process, and how they all work together Practical application: walk through the intelligence-driven incident response (IDIR) process using the F3EAD process—Find, Fix Finish, Exploit, Analyze, and Disseminate The way forward: explore big-picture aspects of IDIR that go beyond individual incident-response investigations, including intelligence team building