Unlocking Data with Generative AI and RAG: Enhance generative AI systems by integrating internal data with large language models using RAG
Leverage cutting-edge generative AI techniques such as RAG to realize the potential of your data and drive innovation as well as gain strategic advantage.
Unlocking Data with Generative AI and RAG: Enhance generative AI systems by integrating internal data with large language models using RAG
منتج #: 138116994

Unlocking Data with Generative AI and RAG: Enhance generative AI systems by integrating internal data with large language models using RAG

منتج #: 138116994

QAR 213

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باستثناء رسوم الشحن والجمارك ( سيتم احتساب رسوم الشحن والجمارك عند إتمام الشراء )

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Leverage cutting-edge generative AI techniques such as RAG to realize the potential of your data and drive innovation as well as gain strategic advantage.
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Seamless Integration
Effortlessly combines internal data with large language models, enhancing generative AI applications for more accurate and contextually relevant outputs.
Cutting-Edge Techniques
Utilizes Retrieval-Augmented Generation (RAG) methods to significantly improve the performance of AI systems, addressing common user challenges in data processing and generation.
User-Friendly Guide
Provides clear insights and practical approaches for integrating generative AI with existing data, making it accessible for both technical and non-technical audiences looking to enhance their AI capabilities.

تفاصيل المنتج

Shop Unlocking Data with Generative AI and RAG: Enhance generative AI systems by integrating internal data with large language models using RAG online at a best price in قطر. B0DCZF44C9
  • Leverage cutting-edge generative AI techniques such as RAG to realize the potential of your data and drive innovation as well as gain strategic advantageFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*Key FeaturesOptimize data retrieval and generation using vector databasesBoost decision-making and automate workflows with AI agentsOvercome common challenges in implementing real-world RAG systemsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionGenerative AI is helping organizations tap into their data in new ways, with RAG combining the strengths of LLMs with internal data for more intelligent and relevant AI applications. The author harnesses his decade of ML experience in this book to equip you with the strategic insights and technical expertise needed when using RAG to drive transformative outcomes.The book explores RAG’s role in enhancing organizational operations by blending theoretical foundations with practical techniques. You’ll work with detailed coding examples using tools such as LangChain and Chroma’s vector database to gain hands-on experience in integrating RAG into AI systems. The chapters contain real-world case studies and sample applications that highlight RAG’s diverse use cases, from search engines to chatbots. You’ll learn proven methods for managing vector databases, optimizing data retrieval, effective prompt engineering, and quantitatively evaluating performance. The book also takes you through advanced integrations of RAG with cutting-edge AI agents and emerging non-LLM technologies.By the end of this book, you’ll be able to successfully deploy RAG in business settings, address common challenges, and push the boundaries of what’s possible with this revolutionary AI technique.*Email sign-up and proof of purchase requiredWhat you will learnUnderstand RAG principles and their significance in generative AIIntegrate LLMs with internal data for enhanced operationsMaster vectorization, vector databases, and vector search techniquesDevelop skills in prompt engineering specific to RAG and design for precise AI responsesFamiliarize yourself with AI agents' roles in facilitating sophisticated RAG applicationsOvercome scalability, data quality, and integration issuesDiscover strategies for optimizing data retrieval and AI interpretabilityWho this book is forThis book is for AI researchers, data scientists, software developers, and business analysts looking to leverage RAG and generative AI to enhance data retrieval, improve AI accuracy, and drive innovation. It is particularly suited for anyone with a foundational understanding of AI who seeks practical, hands-on learning. The book offers real-world coding examples and strategies for implementing RAG effectively, making it accessible to both technical and non-technical audiences. A basic understanding of Python and Jupyter Notebooks is required.Table of ContentsWhat Is Retrieval-Augmented Generation (RAG)Code Lab – An Entire RAG PipelinePractical Applications of RAGComponents of a RAG SystemManaging Security in RAG ApplicationsInterfacing with RAG and GradioThe Key Role Vectors and Vector Stores Play in RAGSimilarity Searching with VectorsEvaluating RAG Quantitatively and with VisualizationsKey RAG Components in LangChainUsing LangChain to Get More from RAGCombining RAG with the Power of AI Agents and LangGraphUsing Prompt Engineering to Improve RAG EffortsAdvanced RAG-Related Techniques for Improving Results
Publisher Packt Publishing
Publication date 27 Sept. 2024
Language English
Print length 346 pages
ISBN-10 1835887910
ISBN-13 978-1835887905
Dimensions 19.05 x 2.01 x 23.5 cm

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Suitable For
  • Data Scientists

    Ideal for data scientists looking to integrate internal datasets with AI models for enhanced insights and analytics.

  • AI Developers

    Beneficial for developers aiming to improve generative AI systems with real-time data integration techniques.

  • Business Analysts

    Great for business analysts who want to leverage AI for better decision-making through enriched data analysis.

Not Suitable For
  • General Audience

    Not suitable for casual readers who lack a technical background in data science or AI technologies.

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أسئلة العملاء & الإجابات

  • سؤال: كيف تتسوق Unlocking Data with Generative AI and RAG: Enhance عبر الانترنت من يوباى?

    إجابه: من السهل التسوق في Unlocking Data with Generative AI and RAG: Enhance عبر الإنترنت من يوباي. كل ما عليك فعله هو البحث عن المنتج واختيار طريقة الشحن الخاصة بك أثناء الدفع وسيتم توصيله الى عنوانك
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English edition Keith Bourne Format: Paperback Editorial Review

Unlocking Data With Generative AI And RAG provides a comprehensive guide to enhancing generative AI systems by integrating internal data with large language models using the Retrieval-Augmented Generation (RAG) framework. The book, published by Packt Publishing, includes 346 pages of valuable insights, making it an essential read for professionals looking to harness the power of AI effectively. With an emphasis on practical applications and innovative methodologies, readers can learn how to apply RAG to improve their AI systems. Additionally, the inclusion of examples and case studies enriches the learning experience, making complex concepts more approachable and applicable in real-world scenarios.

مراجعات العملاء وتقييماتهم

4.7
21 تقييمات العملاء
  • 5 نجمة
    74%
  • 4 نجمة
    20%
  • 3 نجمة
    6%
  • 2 نجمة
    0%
  • 1 نجمة
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إيجابيات

  • Comprehensive coverage of generative AI concepts
  • Practical applications and methodologies included
  • Includes examples and case studies
  • Well-structured for easy understanding
  • Focuses on integrating internal data

سلبيات

  • May require prior knowledge of AI concepts

تاريخ سعر المنتج

معلومات مهمة

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