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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -7,7 +7,7 @@ This repository contains pre-built examples to help customers get started with t
## Contents

- [Introduction to Bedrock](introduction-to-bedrock) - Learn the basics of the Bedrock service
- [Prompt Engineering ](articles-guides) - Tips for crafting effective prompts
- [Prompt Engineering ](articles-guides/README.md) - Tips for crafting effective prompts
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Copilot AI Apr 17, 2026

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There’s an extra trailing space in the link text "Prompt Engineering ", which reads like a typo. Consider removing the extra space so the rendered link text is consistent with the other entries.

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- [Prompt Engineering ](articles-guides/README.md) - Tips for crafting effective prompts
- [Prompt Engineering](articles-guides/README.md) - Tips for crafting effective prompts

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Copilot AI Apr 17, 2026

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PR title/description and linked issue mention fixing typos in a specific notebook, but this PR also changes navigation links in README.md and articles-guides/README.md. Please either update the PR title/description to reflect the additional scope or split the README link updates into a separate PR.

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- [Agents](agents-and-function-calling) - Ways to implement Generative AI Agents and its components.
- [Custom Model Import](custom-models) - Import custom models into Bedrock
- [Multimodal](multi-modal) - Working with multimodal data using Amazon Bedrock
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22 changes: 11 additions & 11 deletions articles-guides/README.md
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Expand Up @@ -4,18 +4,18 @@ This repository contains pre-built examples to help customers get started with t

## Contents

- [Introduction to Bedrock](introduction-to-bedrock) - Learn the basics of the Bedrock service
- [Introduction to Bedrock](../introduction-to-bedrock) - Learn the basics of the Bedrock service
- [Prompt Engineering ](prompt-engineering) - Tips for crafting effective prompts
- [Bedrock Fine-tuning](bedrock-fine-tuning) - Fine-tune Bedrock models for your specific use case
- [Custom Model Import](custom-models) - Import custom models into Bedrock
- [Generative AI Solutions](generative-ai-solutions) - Example use cases for generative AI
- [Knowledge Bases](knowledge-bases) - Build knowledge bases with Bedrock
- [Retrival Augmented Generation (RAG)](rag-solutions) - Implementing RAG with Amazon Bedrock
- [Agents](agents-for-bedrock) - Generative AI agents with Bedrock
- [Security and Governance](security-and-governance) - Secure your Bedrock applications
- [Responsible AI](responsible-ai) - Use Bedrock responsibly and ethically
- [Operational Tooling](ops-tooling) - Helpful samples to help operationalize your useage of Amazon Bedrock
- [Multimodal](multimodal) - Working with multimodal data using Amazon Bedrock
- [Bedrock Fine-tuning](../model-latency-benchmarking) - Fine-tune Bedrock models for your specific use case
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The link text/description says this section is about fine-tuning, but it points to ../model-latency-benchmarking (latency benchmarking). Either update the link target to the fine-tuning content (if it exists), or rename the entry/description to match the benchmarking folder so readers aren’t misdirected.

Suggested change
- [Bedrock Fine-tuning](../model-latency-benchmarking) - Fine-tune Bedrock models for your specific use case
- [Model Latency Benchmarking](../model-latency-benchmarking) - Benchmark Bedrock model latency for your specific use case

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- [Custom Model Import](../custom-models) - Import custom models into Bedrock
- [Generative AI Solutions](../genai-use-cases) - Example use cases for generative AI
- [Knowledge Bases](../rag) - Build knowledge bases with Bedrock
- [Retrival Augmented Generation (RAG)](../rag) - Implementing RAG with Amazon Bedrock
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Typo in link title: "Retrival" should be "Retrieval".

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- [Retrival Augmented Generation (RAG)](../rag) - Implementing RAG with Amazon Bedrock
- [Retrieval Augmented Generation (RAG)](../rag) - Implementing RAG with Amazon Bedrock

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- [Agents](../agents-and-function-calling) - Generative AI agents with Bedrock
- [Security and Governance](../security) - Secure your Bedrock applications
- [Responsible AI](../responsible_ai) - Use Bedrock responsibly and ethically
- [Operational Tooling](../evaluation-observe) - Helpful samples to help operationalize your useage of Amazon Bedrock
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Copilot AI Apr 17, 2026

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Typo in description: "useage" should be "usage".

Suggested change
- [Operational Tooling](../evaluation-observe) - Helpful samples to help operationalize your useage of Amazon Bedrock
- [Operational Tooling](../evaluation-observe) - Helpful samples to help operationalize your usage of Amazon Bedrock

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- [Multimodal](../multi-modal) - Working with multimodal data using Amazon Bedrock

## Getting Started

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Expand Up @@ -581,7 +581,7 @@
"metadata": {},
"source": [
"### View Job Metadata\n",
"Let's retrieve the job metadata. The Job metadata contains the S3 uri's for the standard output,custom output and the status of custom output. The custom output status could be either of `MATCH` or `NO_MATCH`. `MATCH` indicates BDA was able to find a matching blueprint for the specific segment from the list of blueprint we associated with the project. If BDA was unable to match the segment to a blueprint associated with the project then the `custom output status` is `NO_MATCH` and in this case BDA would only have a standard output extracted from that specific segment of the input file."
"Let's retrieve the job metadata. The Job metadata contains the S3 uri's for the standard output, custom output and the status of custom output. The custom output status could be either of `MATCH` or `NO_MATCH`. `MATCH` indicates BDA was able to find a matching blueprint for the specific segment from the list of blueprint we associated with the project. If BDA was unable to match the segment to a blueprint associated with the project then the `custom output status` is `NO_MATCH` and in this case BDA would only have a standard output extracted from that specific segment of the input file."
]
},
{
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