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Fine-Tuning vs Prompt Engineering on AWS: What’s the Right Approach?

Introduction So you’ve chosen your model, maybe Claude via Bedrock or Falcon on SageMaker.Now the next question hits:Should we fine-tune this model? Or can we just prompt it better?Choosing between fine-tuning and prompt engineering isn’t just technical, it’s strategic.Let’s explore when each approach makes sense in the AWS ecosystem, how they differ, and how to […]

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RAG on AWS: Retrieval-Augmented Generation Architecture & Best Practices

Introduction Large language models are brilliant, but they forget things.They can’t answer questions about your private docs or industry-specific data unless you fine-tune them or… use RAG.RAG (Retrieval-Augmented Generation) is the fastest, safest way to make GenAI models useful for your data, without retraining anything.In this post, we’ll explain how to build a RAG pipeline

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