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Fix: MDX compilation error in CompactifAI documentation
- Replace (<5%) with (under 5%) in two locations to fix JSX parsing - Resolves webpack build failure in Docusaurus documentation - Maintains same meaning while avoiding MDX syntax conflicts Fixes #14624
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@@ -4,7 +4,7 @@ import TabItem from '@theme/TabItem';
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# CompactifAI
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https://docs.compactif.ai/
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CompactifAI offers highly compressed versions of leading language models, delivering up to **70% lower inference costs**, **4x throughput gains**, and **low-latency inference** with minimal quality loss (<5%). CompactifAI's OpenAI-compatible API makes integration straightforward, enabling developers to build ultra-efficient, scalable AI applications with superior concurrency and resource efficiency.
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CompactifAI offers highly compressed versions of leading language models, delivering up to **70% lower inference costs**, **4x throughput gains**, and **low-latency inference** with minimal quality loss (under 5%). CompactifAI's OpenAI-compatible API makes integration straightforward, enabling developers to build ultra-efficient, scalable AI applications with superior concurrency and resource efficiency.
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| Property | Details |
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|-------|-------|
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@@ -192,7 +192,7 @@ Common model formats:
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## Benefits
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- **Cost Efficient**: Up to 70% lower inference costs compared to standard models
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- **High Performance**: 4x throughput gains with minimal quality loss (<5%)
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- **High Performance**: 4x throughput gains with minimal quality loss (under 5%)
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- **Low Latency**: Optimized for fast response times
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- **Drop-in Replacement**: Full OpenAI API compatibility
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- **Scalable**: Superior concurrency and resource efficiency
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