How to develop a generative AI app on AWS: A step-by-step process

The generative AI development process requires:

1. Foundation model interface – Provides access to the generative AI models through an API
2. Front-end web/mobile application – The user-facing part of the application that runs on websites or mobile devices
3. Data processing labeling – Preparing and annotating data to train models
4. Model training – Using labeled data to teach model patterns and improve performance
5. High-quality monitoring and security tools – Overseeing models, detecting issues, and protecting data and systems
6. Vector database – Storage for vector representations of text and images used by models
7. Machine learning platform – Infrastructure for developing, testing, deploying, and managing models
8. Machine learning network storage – Data storage is networked for efficient ML tasks
9. AI model training resource – Computing power like GPUs for model training
10. Text-embeddings for vector representation – Representing text as vectors in numerical form for models

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