diff --git a/spring-ai-core/src/main/java/org/springframework/ai/evaluation/FactCheckingEvaluator.java b/spring-ai-core/src/main/java/org/springframework/ai/evaluation/FactCheckingEvaluator.java
index c0d3676d7..3dc03c769 100644
--- a/spring-ai-core/src/main/java/org/springframework/ai/evaluation/FactCheckingEvaluator.java
+++ b/spring-ai-core/src/main/java/org/springframework/ai/evaluation/FactCheckingEvaluator.java
@@ -23,19 +23,19 @@ import org.springframework.ai.chat.client.ChatClient;
 /**
  * Implementation of {@link Evaluator} used to evaluate the factual accuracy of Large
  * Language Model (LLM) responses against provided context.
- * <p/>
+ * <p>
  * This evaluator addresses a specific type of potential error in LLM outputs known as
  * "hallucination" in the context of grounded factuality. It verifies whether a given
  * statement (the "claim") is logically supported by a provided context (the "document").
- * <p/>
+ * <p>
  * Key concepts: - Document: The context or grounding information against which the claim
  * is checked. - Claim: The statement to be verified against the document.
- * <p/>
+ * <p>
  * The evaluator uses a prompt-based approach with a separate, typically smaller and more
  * efficient LLM to perform the fact-checking. This design choice allows for
  * cost-effective and rapid verification, which is crucial when evaluating longer LLM
  * outputs that may require multiple verification steps.
- * <p/>
+ * <p>
  * Implementation note: For efficient and accurate fact-checking, consider using
  * specialized models like Bespoke-Minicheck, a grounded factuality checking model
  * developed by Bespoke Labs and available in Ollama. Such models are specifically
@@ -45,12 +45,12 @@ import org.springframework.ai.chat.client.ChatClient;
  * Hallucinations with Bespoke-Minicheck</a> and the research paper:
  * <a href="https://arxiv.org/pdf/2404.10774v1">MiniCheck: An Efficient Method for LLM
  * Hallucination Detection</a>
- * <p/>
+ * <p>
  * Note: This evaluator is specifically designed to fact-check statements against given
  * information. It's not meant for other types of accuracy tests, like quizzing an AI on
  * obscure facts without giving it any reference material to work with (so-called 'closed
  * book' scenarios).
- * <p/>
+ * <p>
  * The evaluation process aims to determine if the claim is supported by the document,
  * returning a boolean result indicating whether the fact-check passed or failed.
  *
diff --git a/spring-ai-core/src/main/java/org/springframework/ai/model/function/FunctionCallingOptions.java b/spring-ai-core/src/main/java/org/springframework/ai/model/function/FunctionCallingOptions.java
index f977a4ecf..91530dac3 100644
--- a/spring-ai-core/src/main/java/org/springframework/ai/model/function/FunctionCallingOptions.java
+++ b/spring-ai-core/src/main/java/org/springframework/ai/model/function/FunctionCallingOptions.java
@@ -53,7 +53,7 @@ public interface FunctionCallingOptions extends ChatOptions {
 	void setFunctionCallbacks(List<FunctionCallback> functionCallbacks);
 
 	/**
-	 * @return <@link Set> of function names from the ChatModel registry to be used in the
+	 * @return {@link Set} of function names from the ChatModel registry to be used in the
 	 * next chat completion requests.
 	 */
 	Set<String> getFunctions();
diff --git a/spring-ai-core/src/main/java/org/springframework/ai/observation/conventions/AiObservationMetricNames.java b/spring-ai-core/src/main/java/org/springframework/ai/observation/conventions/AiObservationMetricNames.java
index 4b9263ba3..2072d3833 100644
--- a/spring-ai-core/src/main/java/org/springframework/ai/observation/conventions/AiObservationMetricNames.java
+++ b/spring-ai-core/src/main/java/org/springframework/ai/observation/conventions/AiObservationMetricNames.java
@@ -18,7 +18,7 @@ package org.springframework.ai.observation.conventions;
 
 /**
  * Enumeration of metric names used in AI observations.
- * <p/>
+ * <p>
  * Based on OpenTelemetry's Semantic Conventions for AI systems.
  *
  * @author Thomas Vitale