Mastering Vector Database
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Mastering Vector Databases
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Author : Robert Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-01-03
Mastering Vector Databases written by Robert Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Computers categories.
"Mastering Vector Databases: The Future of Data Retrieval and AI" offers an insightful exploration into the transformative world of vector databases, a cutting-edge technology pivotal to advancing data management and artificial intelligence applications. This book is meticulously designed to impart a comprehensive understanding, beginning with foundational concepts and advancing to intricate techniques, ensuring readers develop the expertise necessary to leverage vector databases effectively. Throughout its pages, it demystifies core concepts, illustrating how vector databases efficiently handle high-dimensional data, optimize query processes, and integrate with AI systems to enhance performance across diverse applications. In an era where data drives decision-making, this book serves as an essential resource for computer scientists, IT professionals, and data enthusiasts eager to stay at the forefront of technology. It delves into real-world applications ranging from recommendation systems to image retrieval, underscoring the practical benefits and industry impact of vector databases. Moreover, it addresses challenges in scalability, security, and privacy, providing readers with a robust framework for implementing secure and efficient data solutions. "Mastering Vector Databases" is your guide to navigating the complexities of modern data environments, empowering you to harness the full potential of this innovative technology.
Mastering Vector Database
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Author : Mason Leblanc
language : en
Publisher:
Release Date : 2024
Mastering Vector Database written by Mason Leblanc and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with categories.
Mastering Vector Databases
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Author : Raj C Vaidyamath
language : en
Publisher: Independently Published
Release Date : 2024-07-16
Mastering Vector Databases written by Raj C Vaidyamath and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-16 with Computers categories.
Mastering Vector Databases: An Artificial Intelligence Lens delves into the sophisticated world of vector databases, offering a comprehensive guide for developers, architects, and system administrators. This book covers the evolution, architecture, and key features of vector databases, alongside advanced indexing, search techniques, and real-time data processing. With a special focus on integrating machine learning and AI, it provides practical insights into cloud deployment, performance optimization, and security practices. Curated with expert insights, this book is an essential resource for professionals aiming to leverage the power of AI in their database management systems.
Mastering Large Language Models With Python
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Author : Raj Arun R
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2024-04-12
Mastering Large Language Models With Python written by Raj Arun R and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-12 with Computers categories.
A Comprehensive Guide to Leverage Generative AI in the Modern Enterprise KEY FEATURES ● Gain a comprehensive understanding of LLMs within the framework of Generative AI, from foundational concepts to advanced applications. ● Dive into practical exercises and real-world applications, accompanied by detailed code walkthroughs in Python. ● Explore LLMOps with a dedicated focus on ensuring trustworthy AI and best practices for deploying, managing, and maintaining LLMs in enterprise settings. ● Prioritize the ethical and responsible use of LLMs, with an emphasis on building models that adhere to principles of fairness, transparency, and accountability, fostering trust in AI technologies. DESCRIPTION “Mastering Large Language Models with Python” is an indispensable resource that offers a comprehensive exploration of Large Language Models (LLMs), providing the essential knowledge to leverage these transformative AI models effectively. From unraveling the intricacies of LLM architecture to practical applications like code generation and AI-driven recommendation systems, readers will gain valuable insights into implementing LLMs in diverse projects. Covering both open-source and proprietary LLMs, the book delves into foundational concepts and advanced techniques, empowering professionals to harness the full potential of these models. Detailed discussions on quantization techniques for efficient deployment, operational strategies with LLMOps, and ethical considerations ensure a well-rounded understanding of LLM implementation. Through real-world case studies, code snippets, and practical examples, readers will navigate the complexities of LLMs with confidence, paving the way for innovative solutions and organizational growth. Whether you seek to deepen your understanding, drive impactful applications, or lead AI-driven initiatives, this book equips you with the tools and insights needed to excel in the dynamic landscape of artificial intelligence. WHAT WILL YOU LEARN ● In-depth study of LLM architecture and its versatile applications across industries. ● Harness open-source and proprietary LLMs to craft innovative solutions. ● Implement LLM APIs for a wide range of tasks spanning natural language processing, audio analysis, and visual recognition. ● Optimize LLM deployment through techniques such as quantization and operational strategies like LLMOps, ensuring efficient and scalable model usage. ● Master prompt engineering techniques to fine-tune LLM outputs, enhancing quality and relevance for diverse use cases. ● Navigate the complex landscape of ethical AI development, prioritizing responsible practices to drive impactful technology adoption and advancement. WHO IS THIS BOOK FOR? This book is tailored for software engineers, data scientists, AI researchers, and technology leaders with a foundational understanding of machine learning concepts and programming. It's ideal for those looking to deepen their knowledge of Large Language Models and their practical applications in the field of AI. If you aim to explore LLMs extensively for implementing inventive solutions or spearheading AI-driven projects, this book is tailored to your needs. TABLE OF CONTENTS 1. The Basics of Large Language Models and Their Applications 2. Demystifying Open-Source Large Language Models 3. Closed-Source Large Language Models 4. LLM APIs for Various Large Language Model Tasks 5. Integrating Cohere API in Google Sheets 6. Dynamic Movie Recommendation Engine Using LLMs 7. Document-and Web-based QA Bots with Large Language Models 8. LLM Quantization Techniques and Implementation 9. Fine-tuning and Evaluation of LLMs 10. Recipes for Fine-Tuning and Evaluating LLMs 11. LLMOps - Operationalizing LLMs at Scale 12. Implementing LLMOps in Practice Using MLflow on Databricks 13. Mastering the Art of Prompt Engineering 14. Prompt Engineering Essentials and Design Patterns 15. Ethical Considerations and Regulatory Frameworks for LLMs 16. Towards Trustworthy Generative AI (A Novel Framework Inspired by Symbolic Reasoning) Index
Python Gpt Cookbook
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Author : Dr. Neil Williams
language : en
Publisher: BPB Publications
Release Date : 2025-03-19
Python Gpt Cookbook written by Dr. Neil Williams and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-19 with Computers categories.
DESCRIPTION GPT has redefined the landscape of AI, enabling the creation of powerful language models capable of diverse applications. The objective of the Python GPT Cookbook is to equip readers with practical recipes and foundational knowledge to build business solutions using GPT and Python. The book is divided into four parts. The first covers the basics, the second teaches the fundamentals of NLP, the third delves into applying GPT in various fields, and the fourth provides a conclusion. Each chapter includes recipes and practical insights to help readers deepen their understanding and apply the concepts presented. This cookbook approach delivers 78 practical recipes, including creating OpenAI accounts, utilizing playgrounds and API keys. You will learn text preprocessing, embeddings, fine-tuning, and GPT integration with Hugging Face. Learn to implement GPT using PyTorch and TensorFlow, convert models, and build authenticated actions. Applications include chatbots, email summarization, DBA copilots, and use cases in marketing, sales, IP, and manufacturing. By the end of the book, readers will have a robust understanding of GPT models and how to use them for real-world NLP tasks, along with the skills to continue exploring this powerful technology independently. WHAT YOU WILL LEARN ● Learn Python, OpenAI, TensorFlow, Hugging Face, and vector databases. ● Master Python for NLP applications and data manipulation. ● Understand and implement GPT models for various tasks. ● Integrate GPT with various architectural components, such as databases, third-party APIs, servers, and data pipelines ● Utilise NLTK, PyTorch, and TensorFlow for advanced NLP projects. ● Use Jupyter for interactive coding and data analysis. WHO THIS BOOK IS FOR The Python GPT Cookbook is for IT professionals and business innovators who already have basic Python skills. Data scientists, ML engineers, NLP engineers, and ML researchers will also find it useful. TABLE OF CONTENTS 1. Introduction to GPT 2. Crafting Your GPT Workspace 3. Pre-processing 4. Embeddings 5. Classifying Intent 6. Hugging Face and GPT 7. Vector Databases 8. GPT, PyTorch, and TensorFlow 9. Custom GPT Actions 10. Integrating GPT with the Enterprise 11. Marketing and Sales with GPT 12. Intellectual Property Management with GPT 13. GPT in Manufacturing 14. Scaling up 15. Emerging Trends and Future Directions
Product Focused Software Process Improvement
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Author : Dietmar Pfahl
language : en
Publisher: Springer Nature
Release Date : 2024-12-01
Product Focused Software Process Improvement written by Dietmar Pfahl and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-01 with Computers categories.
This book constitutes the refereed proceedings of the 25th International Conference on Product-Focused Software Process Improvement, PROFES 2024, held in Tartu, Estonia, during December 2–4, 2024. The 18 full papers, 12 short papers, 9 Industry papers, 2 Workshop papers, 2 Doctoral symposium papers, and one Keynote paper presented in this volume were carefully reviewed and selected from 85 submissions. The main theme of PROFES 2024 was professional software process improvement (SPI) motivated by product, process, and service quality needs. The technical program of PROFES 2024 was selected by a committee of leading experts in software process improvement, software process modeling, and empirical software engineering.
New Trends In Database And Information Systems
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Author : Joe Tekli
language : en
Publisher: Springer Nature
Release Date : 2024-11-16
New Trends In Database And Information Systems written by Joe Tekli and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-16 with Computers categories.
This book constitutes short papers, Doctoral Consortium and Workshops papers which were held in conjunction with the 28th European Conference on New Trends in Databases and Information Systems, ADBIS 2024, which took place in Bayonne, France, during August 28–31, 2024. The total of 28 full papers and 7 short papers presented in this book were carefully reviewed and selected from 103 submissions. They were organized in the following topical sections: Doctoral Consortium; 5th Workshop on Intelligent Data - From Data to Knowledge (DOING 2024); 3rd Workshop on Knowledge Graphs Analysis on a Large Scale (K-GALS 2024); 6th Workshop on Modern Approaches in Data Engineering and Information System Design (MADEISD 2024); 3rd Workshop on Personalization and Recommender Systems (PERS 2024); Access methods and query processing; discovery and data analysis; Machine Learning; large language models; and tutorials.
Vector Database
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-16
Vector Database written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-16 with Computers categories.
"Vector Database" Vector Database is a comprehensive and authoritative guide to the cutting-edge world of high-dimensional search and retrieval. This book begins by grounding readers in the theoretical foundations—tracing the journey from traditional databases to the latest innovations in vector search, and unpacking the underlying mathematics, embedding methodologies, and the diverse modalities of data that vector databases support. Through crisp explanations and illustrative examples, it demystifies how vector representations power modern machine learning systems and unlock new capabilities for handling complex, unstructured information. A major focus of the book is on the practical engineering behind vector data: from algorithmic approaches (like approximate nearest neighbor search, advanced indexing structures, and hybrid queries) to the full lifecycle of data ingestion, transformation, versioning, and update management. Readers are guided through distributed architectures, sharding strategies, fault-tolerance, and cloud-native deployment patterns—arming practitioners with actionable insights into scaling, managing, and optimizing vector systems for enterprise-grade reliability and performance. Security, privacy, and compliance best practices are also rigorously addressed, ensuring readiness for production use in regulated environments. Finally, Vector Database explores the pivotal role of vector search within modern AI and analytics ecosystems. It covers seamless integration with machine learning pipelines, MLOps, developer tooling, and interoperability with traditional data stores. Advanced and forward-looking chapters discuss trillion-scale collections, operational observability, benchmarking, and the fusion of graph, symbolic, and vector paradigms. Whether you are a researcher, engineer, or technical leader, this volume is an essential resource for mastering the foundational principles and practical tools shaping the future of intelligent data retrieval.
Mastering Python For Networking And Security
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Author : José Ortega
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-01-04
Mastering Python For Networking And Security written by José Ortega 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 2021-01-04 with Computers categories.
Tackle security and networking issues using Python libraries such as Nmap, requests, asyncio, and scapy Key Features Enhance your Python programming skills in securing systems and executing networking tasks Explore Python scripts to debug and secure complex networks Learn to avoid common cyber events with modern Python scripting Book DescriptionIt’s now more apparent than ever that security is a critical aspect of IT infrastructure, and that devastating data breaches can occur from simple network line hacks. As shown in this book, combining the latest version of Python with an increased focus on network security can help you to level up your defenses against cyber attacks and cyber threats. Python is being used for increasingly advanced tasks, with the latest update introducing new libraries and packages featured in the Python 3.7.4 recommended version. Moreover, most scripts are compatible with the latest versions of Python and can also be executed in a virtual environment. This book will guide you through using these updated packages to build a secure network with the help of Python scripting. You’ll cover a range of topics, from building a network to the procedures you need to follow to secure it. Starting by exploring different packages and libraries, you’ll learn about various ways to build a network and connect with the Tor network through Python scripting. You will also learn how to assess a network's vulnerabilities using Python security scripting. Later, you’ll learn how to achieve endpoint protection by leveraging Python packages, along with writing forensic scripts. By the end of this Python book, you’ll be able to use Python to build secure apps using cryptography and steganography techniques.What you will learn Create scripts in Python to automate security and pentesting tasks Explore Python programming tools that are used in network security processes Automate tasks such as analyzing and extracting information from servers Understand how to detect server vulnerabilities and analyze security modules Discover ways to connect to and get information from the Tor network Focus on how to extract information with Python forensics tools Who this book is for This Python network security book is for network engineers, system administrators, or any security professional looking to overcome networking and security challenges. You will also find this book useful if you’re a programmer with prior experience in Python. A basic understanding of general programming structures and the Python programming language is required before getting started.
Mastering Postgis
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Author : Dominik Mikiewicz
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-05-31
Mastering Postgis written by Dominik Mikiewicz 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 2017-05-31 with Computers categories.
Write efficient GIS applications using PostGIS - from data creation to data consumption About This Book Learn how you can use PostGIS for spatial data analysis and manipulation Optimize your queries and build custom functionalities for your GIS application A comprehensive guide with hands-on examples to help you master PostGIS with ease Who This Book Is For If you are a GIS developer or analyst who wants to master PostGIS to build efficient, scalable GIS applications, this book is for you. If you want to conduct advanced analysis of spatial data, this book will also help you. The book assumes that you have a working installation of PostGIS in place, and have working experience with PostgreSQL. What You Will Learn Refresh your knowledge of the PostGIS concepts and spatial databases Solve spatial problems with the use of SQL in real-world scenarios Practical walkthroughs of application development examples using Postgis, GeoServer and OpenLayers. Extract, transform and load your spatial data Expose data directly or through web services. Consume your data in both desktop and web clients In Detail PostGIS is open source extension onf PostgreSQL object-relational database system that allows GIS objects to be stored and allows querying for information and location services. The aim of this book is to help you master the functionalities offered by PostGIS- from data creation, analysis and output, to ETL and live edits. The book begins with an overview of the key concepts related to spatial database systems and how it applies to Spatial RMDS. You will learn to load different formats into your Postgres instance, investigate the spatial nature of your raster data, and finally export it using built-in functionalities or 3th party tools for backup or representational purposes. Through the course of this book, you will be presented with many examples on how to interact with the database using JavaScript and Node.js. Sample web-based applications interacting with backend PostGIS will also be presented throughout the book, so you can get comfortable with the modern ways of consuming and modifying your spatial data. Style and approach This book is a comprehensive guide covering all the concepts you need to master PostGIS. Packed with hands-on examples, tips and tricks, even the most advanced concepts are explained in a very easy-to-follow manner. Every chapter in the book does not only focus on how each task is performed, but also why.