From 7ecaa6ff97002bc9d9c51482e9bef759e5c95087 Mon Sep 17 00:00:00 2001 From: medusa Date: Sat, 18 Nov 2023 04:49:07 +0000 Subject: [PATCH] Update docs/llm/Effective-LLM-Prompting.md --- docs/llm/Effective-LLM-Prompting.md | 3 --- 1 file changed, 3 deletions(-) diff --git a/docs/llm/Effective-LLM-Prompting.md b/docs/llm/Effective-LLM-Prompting.md index 671c5fd..287649f 100644 --- a/docs/llm/Effective-LLM-Prompting.md +++ b/docs/llm/Effective-LLM-Prompting.md @@ -102,8 +102,6 @@ Equipped with these refined strategies for prompt crafting, you are now prepared --- -# 📘 Ultimate Guide to Prompt Crafting for LLMs - ## 📜 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. - --- \ No newline at end of file