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Generative AI for Executives – AWS Business & Strategy Overview
Section I - Defining Foundation Models, Prompts, and Prompt Engineering

Section I - Defining Foundation Models, Prompts, and Prompt Engineering

Generative AI for Executives – AWS Business & Strategy Overview

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18 درس
03:08 Section II - Choosing Amazon Q for Generative AI
03:52 Section III - Leading Your Generative AI Journey
03:23 Section III - Optimizing Performance and Cost through Model Selection
03:21 Section III - Protecting and Using your Data in Generative AI Applications
03:20 Section III - Building Responsible AI into Your Solutions
03:05 Section III - Practicing Generative AI Responsibly
03:30 Section III - Getting Started with a Pilot Project
03:38 Section III - Preparing the Organization for Generative AI
03:53 Section II - Case Study: Using Generative AI to Improve Customer Reviews
02:27 Generative AI for Executives - Introducing Generative AI for Executives
03:24 Section II - Choosing Amazon Bedrock for Generative AI
02:38 Section II - Choosing Amazon SageMaker for Generative AI
03:07 Section II - Choosing the Right AWS Service for Your Use Case
03:22 Section I- Using Your Own Data with a Foundation Model
02:13 Section I - Choosing a Foundation Model
03:06 Section I - Defining Tokens, Embedding, Vectors, and Transformers
03:11 Section I - Defining Foundation Models, Prompts, and Prompt Engineering
02:53 Section I - Comparing Machine Learning, Deep Learning, and Generative AI