diff --git a/docs/llm/Effective-LLM-Prompting.md b/docs/llm/Effective-LLM-Prompting.md
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@@ -102,8 +102,6 @@ Equipped with these refined strategies for prompt crafting, you are now prepared
 
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-# 📘 Ultimate Guide to Prompt Crafting for LLMs
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 ## 📜 Context for Operations in Prompt Crafting
 
 Prompt crafting for Language Learning Models (LLMs) is an intricate process that requires a deep understanding of various linguistic operations. These operations, essential to the art of prompt engineering, are divided into categories based on their purpose and the nature of their output in relation to their input. In this guide, we delve into three pivotal types of operations—Reductive, Generative, and Transformational—which are fundamental for crafting effective prompts and eliciting precise responses from LLMs.
@@ -287,5 +285,4 @@ In the context of Language Learning Models (LLMs), "hallucination" is often used
 
 By recognizing the overlap between hallucination and creativity, we can more effectively guide LLMs to produce outputs that are inventive and valuable in appropriate contexts, while also being cautious about where and how these outputs are applied.
 
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