AWS GenAI Basics
Basics of Generative AI
Generative AI is a type of AI that can create new content, including conversations, stories, images, videos, music, and code.
Like all artificial intelligence, generative AI is powered by ML models.
However, generative AI is powered by very large models that are pretrained on vast collections of data.
GenAI applications
Generative AI applications have captured our attention and imagination.
Customers across industries are rapidly adopting ML technologies to transform their businesses.
Many are reinventing customer experiences and applications with generative AI.
Common applications
You can apply generative AI across all lines of business, including engineering, marketing, customer service, finance, and sales
You can also apply it to many use cases, from text summarization to image generation.
Many customers, from healthcare to financial services, are already working on new applications.
Example applications of GenAI
Improve customer experience
Generative AI improves customer experience through virtual assistants, intelligent contact centers, personalization, and content moderation.
Boost employee productivity
Generative AI powers conversational search, content creation, text summarization, and code generation.
Amazon Q Developer drives productivity increases for developers.
Amazon QuickSight uses generative AI to generate and share visual narratives using natural language prompts.
Creativity
Generative AI increases production of creative content: art, music, text, images, animations, and video.
Improve business operations
Generative AI improves business operations through intelligent document processing, maintenance assistants, quality control, and synthetic training data generation.
Benefits of generative AI
Key benefits of generative AI:
- Personalize customer interactions.
- Generate novel content.
- Efficiently adapt pre-built models to business use cases.
- Achieve productivity gains through automation.
Businesses use generative AI to produce content faster than ever before.
Marketing teams can quickly perform A/B testing on product images with different color sets and backdrops.
Image created by Amazon Web Services.
They can target audiences more effectively on social media and create custom animations in a fraction of the time.
Developers can use Amazon Q Developer to generate routine code blocks and implement third-party APIs, making entire engineering organizations more productive.
