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
This commit is contained in:
Tim Elfrink
2025-09-17 07:50:38 +02:00
parent 0fde408e35
commit 79d1992de0
@@ -4,7 +4,7 @@ import TabItem from '@theme/TabItem';
# CompactifAI
https://docs.compactif.ai/
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.
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.
| Property | Details |
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@@ -192,7 +192,7 @@ Common model formats:
## Benefits
- **Cost Efficient**: Up to 70% lower inference costs compared to standard models
- **High Performance**: 4x throughput gains with minimal quality loss (<5%)
- **High Performance**: 4x throughput gains with minimal quality loss (under 5%)
- **Low Latency**: Optimized for fast response times
- **Drop-in Replacement**: Full OpenAI API compatibility
- **Scalable**: Superior concurrency and resource efficiency