- Main
- Computers - Artificial Intelligence (AI)
- Generative AI on AWS: Building...
Generative AI on AWS: Building Context-Aware Multimodal Reasoning Applications
Chris Fregly, Antje Barth, Shelbee Eigenbrode你有多喜歡這本書?
文件的質量如何?
下載本書進行質量評估
下載文件的質量如何?
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 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
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
年:
2024
版本:
1
出版商:
O'Reilly Media
語言:
english
頁數:
312
ISBN 10:
1098159225
ISBN 13:
9781098159221
文件:
PDF, 2.79 MB
你的標籤:
IPFS:
CID , CID Blake2b
english, 2024
該文件將發送到您的電子郵件地址。 您最多可能需要 1-5 分鐘收到它。
該文件將通過電報信使發送給您。 您最多可能需要 1-5 分鐘收到它。
注意:確保您已將您的帳戶鏈接到 Z-Library Telegram 機器人。
該文件將發送到您的 Kindle 帳戶。 您最多可能需要 1-5 分鐘就能收到它。
請注意:您需要驗證要發送到 Kindle 的每本書。 檢查您的郵箱是否有來自 Amazon Kindle 的驗證郵件。
轉換進行中
轉換為 失敗