The generative AI customization spectrum: From prompt engineering to custom models on AWS | Amazon Web Services
This post shows you how to pick the right generative AI customization approach for your workload without over-engineering or under-investing.
AWS provides access to foundation models from Anthropic, Meta, Mistral, and Amazon through Amazon Bedrock, along with the infrastructure to build everything from chatbots and code assistants to document processors and autonomous agents. The models are available. The harder question is what to do with them for your specific problem.
Having access to Anthropic Claude, Amazon Nova, or Llama does not automatically mean you know how to make them work for your specific use case. Should you write a better prompt? Plug in your documents with Retrieval Augmented Generation (RAG)? Fine-tune? Train something from scratch? The number of options creates decision paralysis, and choosing wrong is expensive.
Teams often jump straight to fine-tuning when a well-structured prompt would have solved the problem in an afternoon. Other teams stay stuck...
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