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Generative Ai On Aws: Building Multimodal Generative Ai Appl...

Generative Ai On Aws: Building Multimodal Generative Ai Appl...
$56.68

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Title:Generative Ai On Aws: Building Multimodal Generative Ai Chris (Author), Barth, Antje (Author), Eigenbrode, Shelbee (Author)Description: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 response (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 response 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 Bedrock, The Aws Generative Ai Managed Service Binding:Paperback, PaperbackPublisher:O\'Reilly MediaPublication Date:2024-01-30Dimensions:Number of Pages:151Language:English

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