Get the Inside Scoop on Neural Search with Our New Book!
If you’re an AI engineer building search systems for any kind of data type – text, Q+A, image, audio, PDF, 3D models, etc. – or a Python developer interested in search or state-of-the-art deep learning techniques, then our new book "Neural Search - From Prototype to Production with Jina" is for you.
We’re super excited to publish our first book, written by our ML engineers Bo Wang, Cristian Mitroi, Feng Wang, Susana Guzmán, and Shubham Saboo. If you’re an AI engineer building search systems for any kind of data type – text, Q+A, image, audio, PDF, 3D models, etc. – or a Python developer interested in search or state-of-the-art deep learning techniques, then this book is for you.
Neural Search - From Prototype to Production with Jina
Build deep learning–powered search systems that you can deploy and manage with ease
Neural Search - From Prototype to Production with Jina is a must-have starter pack to understand neural search, and how it works, learn the essential machine learning and math fundamentals needed for neural search and get a great handle on the foundation of vector representation using the open source Jina AI framework. This book is a great tool for learning Jina AI, enabling its adopters to build deep learning search systems that can be designed, deployed, and managed with ease.
– Dr. Ibrahim Haddad, Executive Director, LF AI & Data & PyTorch Foundation.
We live in a digital era overflowing with data. Pictures, voice messages, videos, text, and combinations of all of them – we are showered in data of all types and media. When traditional search techniques were first developed, computers rarely dealt with anything other than text. Today this is far from true, but we still haven’t updated our search techniques that much. Neural search changes all that. It takes advantage of machine learning and uses the latest AI research to deliver better search results across all types of media.
However, as a new technology, neural search requires a range of skills to implement and deploy. Jina is an open-source solution that democratizes AI, making it easier for developers to build end-to-end neural search applications without a specialized background in AI, cloud ops, or backend engineering. It’s designed with Python developers in mind, to help them unlock the full potential of the latest AI technology.
Get your copy from the link above! Learn how to build ML-powered search systems that you can deploy and manage with ease.