# The generative AI customization spectrum: From prompt engineering to custom models on AWS

DevFeed: [The generative AI customization spectrum: From prompt engineering to custom models on AWS](<https://devfeed.tech/articles/the-generative-ai-customization-spectrum-from-prompt-engineering-to-custom-models-on-aws-21550.md>)

Original publisher: [Read original article](<https://aws.amazon.com/blogs/machine-learning/the-generative-ai-customization-spectrum-from-prompt-engineering-to-custom-models-on-aws/>)

Author: Bhavya Sruthi Sode

Published: 2026-09-14T15:47:12Z

Content type: tutorial

Language: en

Sources: [Artificial Intelligence](<https://devfeed.tech/sources/artificial-intelligence.md>)

Topics: [Generative AI](<https://devfeed.tech/topics/generative-ai.md>), [Amazon Web Services](<https://devfeed.tech/topics/aws.md>), [Prompt Engineering](<https://devfeed.tech/topics/prompt-engineering.md>), [Fine-tuning](<https://devfeed.tech/topics/fine-tuning.md>), [Retrieval Augmented Generation (RAG)](<https://devfeed.tech/topics/retrieval-augmented-generation-rag.md>), [Amazon Bedrock](<https://devfeed.tech/topics/amazon-bedrock.md>), [foundation-models](<https://devfeed.tech/topics/foundation-models.md>), [Anthropic Claude](<https://devfeed.tech/topics/anthropic-claude.md>), [Nova](<https://devfeed.tech/topics/nova.md>), [llama](<https://devfeed.tech/topics/llama.md>)

Tags: [advanced-300](<https://devfeed.tech/tags/advanced-300.md>), [ai](<https://devfeed.tech/tags/ai.md>), [amazon-bedrock](<https://devfeed.tech/tags/amazon-bedrock.md>), [anthropic-claude](<https://devfeed.tech/tags/anthropic-claude.md>), [aws](<https://devfeed.tech/tags/aws.md>), [best-practices](<https://devfeed.tech/tags/best-practices.md>), [chain-of-thought](<https://devfeed.tech/tags/chain-of-thought.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [foundation-models](<https://devfeed.tech/tags/foundation-models.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [llama](<https://devfeed.tech/tags/llama.md>), [nova](<https://devfeed.tech/tags/nova.md>), [optimization](<https://devfeed.tech/tags/optimization.md>), [prompt-engineering](<https://devfeed.tech/tags/prompt-engineering.md>), [rag](<https://devfeed.tech/tags/rag.md>)

## AI overview

This AWS article presents an eight-step decision framework for customizing generative AI workloads. It compares progressively more involved approaches, including prompt engineering, Retrieval Augmented Generation (RAG), fine-tuning, continued pre-training, and custom models such as Amazon Nova Forge, emphasizing that teams should start with the simplest approach and escalate when greater control or domain specificity is required.

## Source excerpt

Pick the right generative AI customization approach on AWS with an 8-step decision framework, from prompt engineering and RAG to fine-tuning, continued pre-training, and Amazon Nova Forge. Start simple and escalate only when you must.