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4 changes: 2 additions & 2 deletions docs/blog/posts/semantic-validation-structured-outputs.md
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Expand Up @@ -334,7 +334,7 @@ Semantic validation represents a significant advancement in ensuring the quality

As these techniques mature, we can expect to see semantic validation become a standard part of AI application development, especially in regulated industries where output quality is critical.

To get started with semantic validation in your projects, check out the [Semantic Validation documentation](https://python.useinstructor.com../../concepts/semantic_validation/.md) and explore the various examples and patterns.
To get started with semantic validation in your projects, check out the [Semantic Validation documentation](../../concepts/semantic_validation.md) and explore the various examples and patterns.

This approach isn't just a technical improvement-it's a fundamental shift in how we think about validation, moving from rigid rules to intelligent understanding of content and context.

Expand All @@ -345,4 +345,4 @@ This approach isn't just a technical improvement-it's a fundamental shift in how
## See Also
- [Validation Deep Dive](validation-part1.md) - Foundation validation concepts
- [Anthropic Prompt Caching](anthropic-prompt-caching.md) - Optimize validation costs
- [Monitoring with Logfire](logfire.md) - Track validation performance
- [Monitoring with Logfire](logfire.md) - Track validation performance