Update _posts/2024-11-29-quarkus-jlama.adoc

Co-authored-by: Georgios Andrianakis <[email protected]>

Author: mariofusco

_posts/2024-11-29-quarkus-jlama.adoc

@@ -21,7 +21,7 @@ https://github.com/tjake/Jlama[Jlama] is a library allowing to execute LLM infer
 
 Jlama is well integrated with Quarkus through the https://quarkus.io/extensions/io.quarkiverse.langchain4j/quarkus-langchain4j-jlama/[dedicated lanchain4j based extension]. Note that for performance reasons Jlama uses the https://openjdk.org/jeps/469[Vector API] which is still in preview in Java 23, and very likely will be released as a supported feature in Java 25.
 
-In essence Jlama makes it possible to serve a LLM in Java, eventually directly embedded in the same JVM running your Java application, but why could this be useful? Actually this is desirable in many use cases and presents a number of relevant advantages like the following:
+In essence Jlama makes it possible to serve an LLM in Java, directly embedded in the same JVM running your Java application, but why could this be useful? Actually this is desirable in many use cases and presents a number of relevant advantages like the following:
 
 . *Fast development/prototyping*: Not having to install, configure and interact with an external server can make the development of a LLM-based Java application much easier.
 . *Easy models testing*: Running the LLM inference embedded in the JVM also makes it easier to test different models and their integration during the development phase.