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Andrei Gheorghiu
Building Data-Driven Applications with LlamaIndex
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4902499Building Data-Driven Applications with LlamaIndexhttps://www.gandhi.com.mx/building-data-driven-applications-with-llamaindex-9781805124405/phttps://gandhi.vtexassets.com/arquivos/ids/4457038/image.jpg?v=638623230659700000665739MXNPackt PublishingInStock/Ebooks/<p><b>Solve real-world problems easily with artificial intelligence (AI) using the LlamaIndex data framework to enhance your LLM-based Python applications </b></p><h2>Key Features</h2><ul><li>Examine text chunking effects on RAG workflows and understand security in RAG app development</li><li>Discover chatbots and agents and learn how to build complex conversation engines</li><li>Build as you learn by applying the knowledge you gain to a hands-on project</li></ul><h2>Book Description</h2>Discover the immense potential of Generative AI and Large Language Models (LLMs) with this comprehensive guide. Learn to overcome LLM limitations, such as contextual memory constraints, prompt size issues, real-time data gaps, and occasional hallucinations. Follow practical examples to personalize and launch your LlamaIndex projects, mastering skills in ingesting, indexing, querying, and connecting dynamic knowledge bases. From fundamental LLM concepts to LlamaIndex deployment and customization, this book provides a holistic grasp of LlamaIndexs capabilities and applications. By the end, youll be able to resolve LLM challenges and build interactive AI-driven applications using best practices in prompt engineering and troubleshooting Generative AI projects.<h2>What you will learn</h2><ul><li>Understand the LlamaIndex ecosystem and common use cases</li><li>Master techniques to ingest and parse data from various sources into LlamaIndex</li><li>Discover how to create optimized indexes tailored to your use cases</li><li>Understand how to query LlamaIndex effectively and interpret responses</li><li>Build an end-to-end interactive web application with LlamaIndex, Python, and Streamlit</li><li>Customize a LlamaIndex configuration based on your project needs</li><li>Predict costs and deal with potential privacy issues</li><li>Deploy LlamaIndex applications that others can use</li></ul><h2>Who this book is for</h2><p>This book is for Python developers with basic knowledge of natural language processing (NLP) and LLMs looking to build interactive LLM applications. Experienced developers and conversational AI developers will also benefit from the advanced techniques covered in the book to fully unleash the capabilities of the framework.</p>...4646133Building Data-Driven Applications with LlamaIndex665739https://www.gandhi.com.mx/building-data-driven-applications-with-llamaindex-9781805124405/phttps://gandhi.vtexassets.com/arquivos/ids/4457038/image.jpg?v=638623230659700000InStockMXN99999DIEbook20249781805124405_W3siaWQiOiI0ZDUwNjMwOS00YmJkLTQzODMtODU4Zi1lYjU2M2FiOTU2ZGMiLCJsaXN0UHJpY2UiOjczOSwiZGlzY291bnQiOjc0LCJzZWxsaW5nUHJpY2UiOjY2NSwiaW5jbHVkZXNUYXgiOnRydWUsInByaWNlVHlwZSI6Ildob2xlc2FsZSIsImN1cnJlbmN5IjoiTVhOIiwiZnJvbSI6IjIwMjQtMDUtMTBUMDQ6MDA6MDBaIiwicmVnaW9uIjoiTVgiLCJpc1ByZW9yZGVyIjpmYWxzZX1d9781805124405_<p><b>Solve real-world problems easily with artificial intelligence (AI) using the LlamaIndex data framework to enhance your LLM-based Python applications </b></p><h2>Key Features</h2><ul><li>Examine text chunking effects on RAG workflows and understand security in RAG app development</li><li>Discover chatbots and agents and learn how to build complex conversation engines</li><li>Build as you learn by applying the knowledge you gain to a hands-on project</li></ul><h2>Book Description</h2>Generative AI, such as Large Language Models (LLMs) possess immense potential. These models simplify problems but have limitations, including contextual memory constraints, prompt size issues, real-time data gaps, and occasional "hallucinations." With this book, youll go from preparing the environment to gradually adding features and deploying the final project. Youll gradually progress from fundamental LLM concepts to exploring the features of this framework. Practical examples will guide you through essential steps for personalizing and launching your LlamaIndex projects. Additionally, youll overcome LLM limitations, build end-user applications, and acquire skills in ingesting, indexing, querying, and connecting dynamic knowledge bases, covering Generative AI and LLM, as well as LlamaIndex deployment. As you approach the conclusion, youll delve into customization, gaining a holistic grasp of LlamaIndexs capabilities and applications. By the end of the book, youll be able to resolve challenges in LLMs and build interactive AI-driven applications by applying best practices in prompt engineering and troubleshooting Generative AI projects.<h2>What you will learn</h2><ul><li>Understand the LlamaIndex ecosystem and common use cases</li><li>Master techniques to ingest and parse data from various sources into LlamaIndex</li><li>Discover how to create optimized indexes tailored to your use cases</li><li>Understand how to query LlamaIndex effectively and interpret responses</li><li>Build an end-to-end interactive web application with LlamaIndex, Python, and Streamlit</li><li>Customize a LlamaIndex configuration based on your project needs</li><li>Predict costs and deal with potential privacy issues</li><li>Deploy LlamaIndex applications that others can use</li></ul><h2>Who this book is for</h2><p>This book is for Python developers with basic knowledge of natural language processing (NLP) and LLMs looking to build interactive LLM applications. Experienced developers and conversational AI developers will also benefit from the advanced techniques covered in the book to fully unleash the capabilities of the framework.</p>...(*_*)9781805124405_<p><b>Solve real-world problems easily with artificial intelligence (AI) using the LlamaIndex data framework to enhance your LLM-based Python applications </b></p><h2>Key Features</h2><ul><li>Examine text chunking effects on RAG workflows and understand security in RAG app development</li><li>Discover chatbots and agents and learn how to build complex conversation engines</li><li>Build as you learn by applying the knowledge you gain to a hands-on project</li></ul><h2>Book Description</h2>Discover the immense potential of Generative AI and Large Language Models (LLMs) with this comprehensive guide. Learn to overcome LLM limitations, such as contextual memory constraints, prompt size issues, real-time data gaps, and occasional hallucinations. Follow practical examples to personalize and launch your LlamaIndex projects, mastering skills in ingesting, indexing, querying, and connecting dynamic knowledge bases. From fundamental LLM concepts to LlamaIndex deployment and customization, this book provides a holistic grasp of LlamaIndexs capabilities and applications. By the end, youll be able to resolve LLM challenges and build interactive AI-driven applications using best practices in prompt engineering and troubleshooting Generative AI projects.<h2>What you will learn</h2><ul><li>Understand the LlamaIndex ecosystem and common use cases</li><li>Master techniques to ingest and parse data from various sources into LlamaIndex</li><li>Discover how to create optimized indexes tailored to your use cases</li><li>Understand how to query LlamaIndex effectively and interpret responses</li><li>Build an end-to-end interactive web application with LlamaIndex, Python, and Streamlit</li><li>Customize a LlamaIndex configuration based on your project needs</li><li>Predict costs and deal with potential privacy issues</li><li>Deploy LlamaIndex applications that others can use</li></ul><h2>Who this book is for</h2><p>This book is for Python developers with basic knowledge of natural language processing (NLP) and LLMs looking to build interactive LLM applications. Experienced developers and conversational AI developers will also benefit from the advanced techniques covered in the book to fully unleash the capabilities of the framework.</p>...9781805124405_Packt Publishinglibro_electonico_9781805124405_9781805124405Andrei GheorghiuInglésMéxico2024-05-10T00:00:00+00:00https://getbook.kobo.com/koboid-prod-public/packt-epub-a10a86ed-ce0f-4c84-bba8-8d2f99bf592c.epub2024-05-10T00:00:00+00:00Packt Publishing