Share
Generative ai on Aws: Building Context-Aware Multimodal Reasoning Applications (in English)
Fregly Chris; Barth Antje; Eigenbrode Shelbee (Author)
·
O'reilly Media
· Paperback
Generative ai on Aws: Building Context-Aware Multimodal Reasoning Applications (in English) - Fregly Chris; Barth Antje; Eigenbrode Shelbee
$ 63.99
$ 79.99
You save: $ 16.00
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My WishlistsIt will be shipped from our warehouse between
Tuesday, June 11 and
Wednesday, June 12.
You will receive it anywhere in United States between 1 and 3 business days after shipment.
Synopsis "Generative ai on Aws: Building Context-Aware Multimodal Reasoning Applications (in English)"
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. In this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTOs, machine learning practitioners, business analysts, data engineers, and data scientists find a practical way to use this exciting new technology. You'll learn the generative AI project lifecycle including use case definition, model selection, model fine-tuning, retrieval-augmented generation (RAG), reinforcement learning from human feedback (RLHF), model quantization, optimization, and deployment. You'll explore different types of models including large language models (LLMs) and multimodal models such as Stable Diffusion for generating images and video. You'll also be able to make better-informed decisions for your company regarding generative AI and learn how to build working prototypes quickly. While the focus is on AWS, this book is a great resource for learning generative AI fundamentals and applying these models to real-world applications. Apply generative AI to your business use cases Determine which generative AI models to use based on the task Perform prompt engineering and in-context learning Fine-tune generative AI models on your datasets Align generative AI models to human values with reinforcement learning from human feedback Use techniques like retrieval-augmented generation to augment your model Explore libraries such as LangChain and React to develop agents and actions Learn about multimodal models such as Stable Diffusion for image and video generation Get hands-on with Amazon Bedrock, the AWS generative AI managed service
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
✓ Producto agregado correctamente al carro, Ir a Pagar.