| 期刊全稱 | Building Generative AI-Powered Apps | | 期刊簡(jiǎn)稱 | A Hands-on Guide for | | 影響因子2023 | Aarushi Kansal | | 視頻video | http://file.papertrans.cn/192/191655/191655.mp4 | | 發(fā)行地址 | Guides readers through the rapidly evolving AI ecosystem in a logical and coherent way.Uses a hands-on approach to teach skills needed to build AI-powered applications.Covers building fully production | | 圖書封面 |  | | 影響因子 | .Generative AI has gone beyond the responsibility of researchers and data scientists and is being used by production engineers. However, there is a lot of confusion where to get started when building an end-to-end app with generative AI. This book consolidates core models, frameworks, and tools into a single source of knowledge. By providing hands-on examples, the book takes you through the generative AI ecosystem to build applications for production..The book starts with a brief and accessible introduction to transformer models before delving into some of the most popular large language models and diffusions models (image generation). These models are the foundations of both AI and your potential new apps. You will then go through various tools available to work with these models, starting with Langchain, a framework to develop foundational models, which is the next building block you should grasp after understanding generative AI models. The next chapters cover databases, caching, monitoring, etc., which are the topics necessary to build larger-scale applications. Real-world examples using these models and tools are included..By the end of this book, you should be able to build e | | Pindex | Book 2024 |
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