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Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTOs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology.

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 casesDetermine which generative AI models are best suited to your task Perform prompt engineering and in-context learningFine-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 actionsBuild generative AI applications with Amazon Bedrock
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Sharing the knowledge of experts

O'Reilly's mission is to change the world by sharing the knowledge of innovators. For over 40 years, we've inspired companies and individuals to do new things (and do them better) by providing the skills and understanding that are necessary for success.

Our customers are hungry to build the innovations that propel the world forward. And we help them do just that.

Publisher ‏ : ‎ O'Reilly Media; 1st edition (December 19, 2023)
Language ‏ : ‎ English
Paperback ‏ : ‎ 309 pages
ISBN-10 ‏ : ‎ 1098159225
ISBN-13 ‏ : ‎ 978-1098159221
Item Weight ‏ : ‎ 1.1 pounds
Dimensions ‏ : ‎ 7 x 0.65 x 9.25 inches

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Generative artificial intelligence (AI) has been making waves in the tech industry, with applications ranging from content generation to artistic creations. One area where generative AI is particularly promising is in building context-aware multimodal reasoning applications. These applications have the ability to process and reason over multiple forms of data, such as images, text, and audio, to generate insightful responses and actions. Amazon Web Services (AWS) is at the forefront of advancing generative AI technology, offering a range of tools and services that make it easier to build and deploy context-aware multimodal reasoning applications. With AWS's scalable infrastructure and cutting-edge AI capabilities, developers can create sophisticated AI models that can reason and respond to complex, multi-modal inputs. One key component of AWS's generative AI offerings is Amazon SageMaker, a fully-managed service that simplifies the process of building, training, and deploying AI models. SageMaker provides access to a wide range of pre-built algorithms and supports popular deep learning frameworks like TensorFlow and PyTorch, making it easy for developers to experiment with different AI architectures and techniques. Another important tool in AWS's generative AI toolkit is Amazon Polly, a text-to-speech service that can generate lifelike speech from written text. By combining Polly with other AI services like Amazon Rekognition, which can analyze and interpret images and videos, developers can create multimodal reasoning applications that can understand and respond to both textual and visual inputs. One example of a context-aware multimodal reasoning application that can be built with AWS's generative AI tools is a virtual assistant that can help users navigate a complex dataset. By integrating natural language processing (NLP) models with image recognition algorithms, the virtual assistant could interpret textual queries and analyze accompanying images to provide relevant and accurate responses. Overall, generative AI on AWS offers developers a powerful set of tools for building context-aware multimodal reasoning applications. By leveraging AWS's scalable infrastructure and advanced AI capabilities, developers can create innovative applications that can reason over multiple forms of data and provide intelligent responses. As generative AI continues to evolve, the possibilities for building sophisticated, context-aware applications are limitless, and AWS is leading the way in making these advancements accessible to developers.

Price: $79.99 - $56.99
(as of Jun 11, 2024 11:05:07 UTC - Details)

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