\u003cp\u003e\u003cb\u003eImplement neural search systems on the cloud by leveraging Jina design patterns\u003c/b\u003e\u003c/p\u003e\u003ch4\u003eKey Features\u003c/h4\u003e\u003cul\u003e\u003cli\u003eIdentify the different search techniques and discover applications of neural search\u003c/li\u003e\u003cli\u003eGain a solid understanding of vector representation and apply your knowledge in neural search\u003c/li\u003e\u003cli\u003eUnlock deeper levels of knowledge of Jina for neural search\u003c/li\u003e\u003c/ul\u003e\u003ch4\u003eBook Description\u003c/h4\u003e\u003cp\u003eSearch is a big and ever-growing part of the tech ecosystem. Traditional search, however, has limitations that are hard to overcome because of the way it is designed. Neural search is a novel approach that uses the power of machine learning to retrieve information using vector embeddings as first-class citizens, opening up new possibilities of improving the results obtained through traditional search.\u003c/p\u003e \u003cp\u003eAlthough neural search is a powerful tool, it is new and finetuning it can be tedious as it requires you to understand the several components on which it relies. Jina fills this gap by providing an infrastructure that reduces the time and complexity involved in creating deep learningâpowered search engines. This book will enable you to learn the fundamentals of neural networks for neural search, its strengths and weaknesses, as well as how to use Jina to build a search engine. With the help of step-by-step explanations, practical examples, and self-assessment questions, you'll become well-versed with the basics of neural search and core Jina concepts, and learn to apply this knowledge to build your own search engine.\u003c/p\u003e \u003cp\u003eBy the end of this deep learning book, you'll be able to make the most of Jina's neural search design patterns to build an end-to-end search solution for any modality.\u003c/p\u003e\u003ch4\u003eWhat you will learn\u003c/h4\u003e\u003cul\u003e\u003cli\u003eUnderstand how neural search and legacy search work\u003c/li\u003e\u003cli\u003eGrasp the machine learning and math fundamentals needed for neural search\u003c/li\u003e\u003cli\u003eGet to grips with the foundation of vector representation\u003c/li\u003e\u003cli\u003eExplore the basic components of Jina\u003c/li\u003e\u003cli\u003eAnalyze search systems with different modalities\u003c/li\u003e\u003cli\u003eUncover the capabilities of Jina with the help of practical examples\u003c/li\u003e\u003c/ul\u003e\u003ch4\u003eWho this book is for\u003c/h4\u003e\u003cp\u003eIf you are a machine learning, deep learning, or artificial intelligence engineer interested in building a search system of any kind (text, QA, image, audio, PDF, 3D models, or others) using modern software architecture, this book is for you. This book is perfect for Python engineers who are interested in building a search system of any kind using state-of-the-art deep learning techniques.\u003c/p\u003e
nl
en