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HomeTechnology and A.I ProductsGenerative AI in Motion

Generative AI in Motion


Value: $79.99 - $64.70
(as of Dec 31, 2025 10:54:49 UTC – Particulars)



Generative AI can remodel your online business by streamlining the method of making textual content, photographs, and code. This e-book will present you easy methods to get in on the motion!

Generative AI in Motion is a fascinating, practitioner-focused companion that reveals how massive language fashions drive transformative software program options. Constructing on Amit Bahree’s in depth background in AI and machine studying, it illustrates core ideas by demonstrating textual content, picture, and even music era—spotlighting the flexibility of those fashions. Past the technical fundamentals, it delves into deployment finest practices, efficiency issues, and moral obligations, making certain you’re well-prepared to deliver generative AI into enterprise contexts with confidence.

Inside Generative AI in Motion you’ll find:

• A sensible overview of of generative AI functions
• Architectural patterns, integration steerage, and finest practices for generative AI
• The newest strategies like RAG, immediate engineering, and multi-modality
• The challenges and dangers of generative AI like hallucinations and jailbreaks
• How one can combine generative AI into your online business and IT technique

Generative AI in Motion is stuffed with real-world use circumstances for generative AI, exhibiting you the place and easy methods to begin integrating this highly effective expertise into your merchandise and workflows. You’ll profit from tried-and-tested implementation recommendation, in addition to utility architectures to deploy GenAI in manufacturing at enterprise scale.

Buy of the print e-book features a free eBook in PDF and ePub codecs from Manning Publications.

Concerning the expertise

In managed environments, deep studying techniques routinely surpass people in studying comprehension, picture recognition, and language understanding. Massive Language Fashions (LLMs) can ship related ends in textual content and picture era and predictive reasoning. Outdoors the lab, although, generative AI can each impress and fail spectacularly. So how do you get the outcomes you need? Preserve studying!

Concerning the e-book

Generative AI in Motion presents concrete examples, insights, and strategies for utilizing LLMs and different trendy AI applied sciences efficiently and safely. In it, you’ll discover sensible approaches for incorporating AI into advertising, software program growth, enterprise report era, information storytelling, and different typically-human duties. You’ll discover the rising patterns for GenAI apps, grasp finest practices for immediate engineering, and learn to tackle hallucination, excessive working prices, the speedy tempo of change and different widespread issues.

What’s inside

• Finest practices for deploying Generative AI apps
• Manufacturing-quality RAG
• Adapting GenAI fashions to your particular area

Concerning the reader

For enterprise architects, builders, and information scientists inquisitive about upgrading their architectures with generative AI.

Concerning the creator

Amit Bahree is Principal Group Product Supervisor for the Azure AI engineering staff at Microsoft.

The technical editor on this e-book was Wee Hyong Tok.

Desk of Contents

Half 1
1 Introduction to generative AI
2 Introduction to massive language fashions
3 Working by means of an API: Producing textual content
4 From pixels to photos: Producing photographs
5 What else can AI generate?
Half 2
6 Information to immediate engineering
7 Retrieval-augmented era: The key weapon
8 Chatting together with your information
9 Tailoring fashions with mannequin adaptation and fine-tuning
Half 3
10 Utility structure for generative AI apps
11 Scaling up: Finest practices for manufacturing deployment
12 Evaluations and benchmarks
13 Information to moral GenAI: Rules, practices, and pitfalls
A The e-book’s GitHub repository
B Accountable AI instruments

From the Writer

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Writer ‏ : ‎ Manning
Publication date ‏ : ‎ Oct. 29 2024
Language ‏ : ‎ English
Print size ‏ : ‎ 464 pages
ISBN-10 ‏ : ‎ 1633436942
ISBN-13 ‏ : ‎ 978-1633436947
Merchandise weight ‏ : ‎ 771 g
Dimensions ‏ : ‎ 18.73 x 2.54 x 23.5 cm
Finest Sellers Rank: #613,885 in Books (See Prime 100 in Books) #182 in AI Knowledgeable Techniques #190 in AI Human Imaginative and prescient & Language Techniques #192 in Pure Language Processing Software program
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