Fix typo in 2024-05-15-KServe-0.13-release.md (#376)

Signed-off-by: Daniele Zonca <dzonca@redhat.com>

docs/blog/articles/2024-05-15-KServe-0.13-release.md

@@ -88,7 +88,7 @@ These endpoints are useful for generative transformer models, which take in mess
 This update fosters a standardized approach to transformer model serving, ensuring compatibility with a broader spectrum of models and tools, and enhances the platform's versatility. The API can be directly used with OpenAI's client libraries or third-party tools, like LangChain or LlamaIndex. 
 
 ### Future Plan
-* Support other tasks like text embeddings [#3572](https://github.com/kserve/kserve/issues/3572])
+* Support other tasks like text embeddings [#3572](https://github.com/kserve/kserve/issues/3572).
 * Support more LLM backend options in the future, such as TensorRT-LLM.
 * Enrich text generation metrics for Throughput(tokens/sec), TTFT(Time to first token) [#3461](https://github.com/kserve/kserve/issues/3461).
 * KEDA integration for token based LLM Autoscaling [#3561](https://github.com/kserve/kserve/issues/3561).