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Implementing advanced prompt engineering with Amazon Bedrock

Machine Learning Blog



This article provides an overview of advanced prompt engineering techniques for Amazon Bedrock, a fully managed service that offers high-performing foundation models (FMs) from leading AI companies. It covers methods like the COSTAR prompting framework, chain-of-thought prompting, Tree of Thoughts prompting, prompt chaining, prompt catalogs, and techniques to mitigate prompt misuses.

Specifically, the article covers:

  • COSTAR framework for crafting effective prompts
  • Chain-of-thought (CoT) prompting for improving reasoning abilities
  • Tree of Thoughts (ToT) prompting for breaking down complex problems
  • Prompt chaining to orchestrate sequences of prompts and models
  • Prompt catalogs and templates for reusability and consistency
  • Common prompt misuses like prompt injection, prompt leaking, and jailbreaking
  • Prompt defense techniques like guardrails and unique delimiters
  • Best practices for prompt engineering


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