avatarJacklyn Parrish

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Abstract

     <div><p>medium.com</p></div>
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    </div><p id="db2f"><b>Writing Good Prompts</b></p><ul><li>Using delimiters to distinguish data from the prompt</li><li>Asking for structured output like JSON, XML, HTML etc.</li><li>Including style information to modify the output tone</li><li>Setting conditions for the model and asking if they are met</li></ul><div id="23a9" class="link-block">
      <a href="https://readmedium.com/prompt-engineering-04-understanding-writing-good-prompts-1-2-4a6a2b6edef5">
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            <h2>Prompt Engineering 04: Understanding Writing Good Prompts (1/2)</h2>
            <div><h3>Focusing on Writing Good Prompts(1/2) in Prompt Engineering.</h3></div>
            <div><p>medium.com</p></div>
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    </div><ul><li>Providing successful task completion examples</li><li>Detailing steps required to perform a task</li><li>Instructing the model to solve on its own before providing answers</li><li>Iterating and refining your prompts</li></ul><div id="0f94" class="link-block">
      <a href="https://readmedium.com/prompt-engineering-05-understanding-writing-good-prompts-2-2-1739121fa6fe">
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            <h2>Prompt Engineering 05: Understanding Writing Good Prompts(2/2)</h2>
            <div><h3>Focusing on Writing Good Prompts(Providing Successful Task Completion Examples, Detailing Steps Required to Perform a…</h3></div>
            <div><p>medium.com</p></div>
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    </div><p id="5275"><b>Real-world Usage Examples</b></p><ul><li>Dealing with structured data</li><li>Writing emails</li><li>Coding assistance</li><li>Study buddy</li><li>Designing chatbots</li></ul><div id="9135" class="link-block">
      <a href="https://blog.stackademic.com/prompt-engineering-06-understanding-real-world-usage-examples-8640d0a36771">
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            <h2>Prompt Engineering 06: Understanding Real-world Usage Examples</h2>
            <div><h3>Focusing on Real-world Usage Examples in Prompt Engineering.</h3></div>
            <div><p>blog.stackademic.com</p></div>
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    </div><p id="c425"><b>Understanding the Pitfalls of LLMs</b></p><ul><li>Citing sources</li><li>Bias</li><li>Hallucinations</li><li>Mathematical issues</li></ul><div id="ed42" class="link-block">
      <a href="https://readmedium.com/prompt-engineering-07-understanding-the-pitfalls-of-llms-7b1c2bcc4c49">
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            <h2>Prompt Engineering 07: Understanding the Pitfalls of LLMs</h2>
            <div><h3>Focusing on the Pitfalls of LLMs in Prompt Engineering.</h3></div>
            <div><p>medium.com</p></div>
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background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*q6lKFY8s_7eS-yBU)"></div> </div> </div> </a> </div><p id="cbc3"><b>Improving the Reliability of LLMs</b></p><ul><li>Prompt Hacking</li><li>Prompt Debiasing</li><li>Prompt Ensembling</li><li>Self-evaluation of LLM</li><li>Calibration of LLMs</li></ul><div id="134c" class="link-block"> <a href="https://readmedium.com/prompt-engineering-08-improving-the-reliability-of-llms-592b6f9e2806"> <div> <div> <h2>Prompt Engineering 08: Improving the Reliability of LLMs</h2> <div><h3>Focusing on Improving the Reliability of LLMs in Prompt Engineering.</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*cpTv5FyicJ5_215C)"></div> </div> </div> </a> </div><p id="e84b"><b>Understanding the LLM settings</b></p><ul><li>Temperature</li><li>Top P parameter</li><li>Other Hyperparameters</li></ul><div id="c276" class="link-block"> <a href="https://readmedium.com/prompt-engineering-09-understanding-the-llm-settings-8701e208c7cc"> <div> <div> <h2>Prompt Engineering 09: Understanding the LLM settings</h2> <div><h3>Focusing on Understanding the LLM settings in Prompt Engineering.</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*pOkVl4eFxrSm3Zop)"></div> </div> </div> </a> </div><p id="76b5"><b>Prompt Hackings</b></p><ul><li>Prompt Injection</li><li>Prompt Leaking</li><li>Jailbreaking</li><li>Defensive Measures</li><li>Offensive Measures</li></ul><div id="69e7" class="link-block"> <a href="https://readmedium.com/prompt-engineering-10-understanding-prompt-hackings-46a21ac4c340"> <div> <div> <h2>Prompt Engineering 10: Understanding Prompt Hackings</h2> <div><h3>Focusing on Understanding Prompt Hackings in Prompt Engineering.</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*gMvKpQJidRj7GTKT)"></div> </div> </div> </a> </div><p id="b2e4"><b>Image Prompting</b></p><ul><li>Style Modifiers</li><li>Quality Boosters</li><li>Weighted Terms</li><li>Fix Deformed Generations</li></ul><div id="e38e" class="link-block"> <a href="https://readmedium.com/prompt-engineering-11-understanding-image-prompting-5b1984965423"> <div> <div> <h2>Prompt Engineering 11: Understanding Image Prompting</h2> <div><h3>Focusing on Understanding Image Prompting in Prompt Engineering.</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*Lo2VeTTHGARL5wfo)"></div> </div> </div> </a> </div><p id="df33"><b>If it really helps you, Buy me a coffee for my HARD work, that will motivate me to create more. :D</b></p><figure id="8723"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/0*QqrVuE12F0u-chU3"><figcaption></figcaption></figure></article></body>

11 lessons help you understand Prompt Engineering better — Basic Skill Tree

Some simple lessons to give you some basic impressions of Prompt Engineering, let’s get started

This article was produced with the help of AI, If there are mistakes, welcome to correct, I will correct in time

Photo by Mojahid Mottakin on Unsplash

If it really helps you, Buy me a coffee for my HARD work, that will motivate me to create more. :D

This post is still a work in progress, I will update this post when new posts are posted

Basic concepts of Language Learning Models (LLMs)

  • What are LLMs?
  • Types of LLMs
  • How are LLMs built?

Introduction to Prompting

  • The need for Prompt Engineering
  • Basic Prompting methodologies

Prompting Techniques

  • Understanding the parts of a prompt
  • Role Prompting
  • Few Shot Prompting
  • Chain of Thought Prompting
  • Zero Shot Chain of Thought Prompting
  • Least to Most Prompting
  • Dual Prompt Approach
  • Combining Techniques

Writing Good Prompts

  • Using delimiters to distinguish data from the prompt
  • Asking for structured output like JSON, XML, HTML etc.
  • Including style information to modify the output tone
  • Setting conditions for the model and asking if they are met
  • Providing successful task completion examples
  • Detailing steps required to perform a task
  • Instructing the model to solve on its own before providing answers
  • Iterating and refining your prompts

Real-world Usage Examples

  • Dealing with structured data
  • Writing emails
  • Coding assistance
  • Study buddy
  • Designing chatbots

Understanding the Pitfalls of LLMs

  • Citing sources
  • Bias
  • Hallucinations
  • Mathematical issues

Improving the Reliability of LLMs

  • Prompt Hacking
  • Prompt Debiasing
  • Prompt Ensembling
  • Self-evaluation of LLM
  • Calibration of LLMs

Understanding the LLM settings

  • Temperature
  • Top P parameter
  • Other Hyperparameters

Prompt Hackings

  • Prompt Injection
  • Prompt Leaking
  • Jailbreaking
  • Defensive Measures
  • Offensive Measures

Image Prompting

  • Style Modifiers
  • Quality Boosters
  • Weighted Terms
  • Fix Deformed Generations

If it really helps you, Buy me a coffee for my HARD work, that will motivate me to create more. :D

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