Generative AI on AWS

Building Context-Aware Multimodal Reasoning Applications, 1st Edition by Chris Fregly  (Author), Antje Barth  (Author), Shelbee Eigenbrode  (Author).

You’ll learn the generative AI project life cycle including use case definition, model selection, model fine-tuning, retrieval-augmented generation, reinforcement learning from human feedback, and model quantization, optimization, and deployment. And you’ll explore different types of models including large language models (LLMs) and multimodal models such as Stable Diffusion for generating images and Flamingo/IDEFICS for answering questions about images. 

• Apply generative AI to your business use cases
• Determine which generative AI models are best suited to your task 
• Perform prompt engineering and in-context learning
• Fine-tune generative AI models on your datasets with low-rank adaptation (LoRA)
• Align generative AI models to human values with reinforcement learning from human feedback (RLHF)
• Augment your model with retrieval-augmented generation (RAG)
• Explore libraries such as LangChain and ReAct to develop agents and actions
• Build generative AI applications with Amazon Bedrock

Generative AI for Beginners Made Easy

By ModernMind Publications (Author).

The ultimate guide to transforming tech curiosity into a practical, empowering skillset, tailored just for beginners like you!

Why This Book?

• Easy-to-Digest Content: We break down AI’s complex concepts into manageable, bite-sized insights.
• Immediate Application: Engage in hands-on projects from day one—skip the heavy theory!
• From Basics to Advanced: Explore everything from AI fundamentals to cutting-edge industry trends.
• Practical Tools and Exercises: Get real-world experience with over 25 hands-on activities using actual AI software.

Inside, You’ll Discover:

• Custom AI Roadmap: Master AI basics with our structured, step-by-step approach.
• Diverse Applications: See how AI is reshaping industries from healthcare to the arts.
• Career Advancement: Leverage AI knowledge to gain a competitive edge in your career.
• Ethical Insights: Navigate the moral landscape of AI innovations responsibly.
• Over 200 Beginner Prompts to get you started with ChatGPT quickly.

Introduction to Generative AI

by Numa Dhamani (Author), Maggie Engler (Author).

Introduction to Generative AI gives you the hows-and-whys of generative AI in accessible language. In this easy-to-read introduction, you’ll learn:

• How large language models (LLMs) work
• How to integrate generative AI into your personal and professional workflows
• Balancing innovation and responsibility
• The social, legal, and policy landscape around generative AI
• Societal impacts of generative AI
• Where AI is going

Anyone who uses ChatGPT for even a few minutes can tell that it’s truly different from other chatbots or question-and-answer tools. Introduction to Generative AI guides you from that first eye-opening interaction to how these powerful tools can transform your personal and professional life. In it, you’ll get no-nonsense guidance on generative AI fundamentals to help you understand what these models are (and aren’t) capable of, and how you can use them to your greatest advantage.

Prompt Engineering for Generative AI

by James Phoenix (Author), Mike Taylor (Author).

Learn how to empower AI to work for you. This book explains: 

• The structure of the interaction chain of your program’s AI model and the fine-grained steps in between 
• How AI model requests arise from transforming the application problem into a document completion problem in the model training domain 
• The influence of LLM and diffusion model architecture—and how to best interact with it 
• How these principles apply in practice in the domains of natural language processing, text and image generation, and code

Generative AI with LangChain

by Ben Auffarth (Author).

Key Features

• Learn how to leverage LLMs’ capabilities and work around their inherent weaknesses
• Delve into the realm of LLMs with LangChain and go on an in-depth exploration of their fundamentals, ethical dimensions, and application challenges
• Get better at using ChatGPT and GPT models, from heuristics and training to scalable deployment, empowering you to transform ideas into reality