Mastering Prompt Engineering Part 1: Beyond Clickbait to Real Results with LLMs #chatgpt #prompts

In this enlightening presentation, we dive into the nuances of prompt design, taking us beyond the initial allure of prompt engineering. Starting with the intricacies of designing effective prompts for large language models (LLMs) like ChatGPT. Discover the art of crafting clear, concise, and unambiguous prompts to achieve precise outcomes from AI. Understand the importance of persona and task definition in prompting LLMs for optimized performance. Whether you're looking to enhance creativity, improve task specificity, or simply get better results from AI interactions, this video is your guide to mastering the techniques of prompt design.

#PromptDesign #PromptEngineering #LLMs #ChatGPT #AIInteractions #Technology #Innovation #educational

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[HerroEverynyan]

Dude, your videos are fantastic. They're so detailed in a super practical sense. You know you're getting actionable stuff when you don't get bored at all during a long video. And you've got so many too. You've addressed so many of my pain-points I didn't even know I had. Thanks so much for all your work.

[CimolOk-nzyj]

🎯 Key Takeaways for quick navigation:

00:00 🎉 *Introduction and New Year wishes*
- Discussing New Year and AI trends,
- Mentioning Google's layoffs due to AI automation.
01:22 🤖 *Understanding Prompt Engineering and Design*
- Distinguishing between prompt engineering and prompt design,
- Highlighting the importance of starting with a clean slate for experiments,
- Discussing system instructions and their impact on prompts.
06:56 🗝️ *Core Principles of Prompt Design*
- Explaining the four C's of prompt design: Clarity, Context, Command, Constraint,
- Emphasizing the significance of context in prompt design.
09:42 🛠️ *The Purpose of Prompt Design*
- Detailing the reasons for using prompt design, such as information extraction, creative content generation, and error troubleshooting.
13:05 🔍 *Understanding Prompt Engineering*
- Defining prompt engineering as the science of fine-tuning and optimizing prompts and models,
- Highlighting elements of prompt engineering: model interpretability, iterative testing, model modification, and handling biases and anomalies.
16:47 🌐 *Use Cases for Prompt Engineering*
- Discussing domain-specific outputs, safety and ethical responses, and optimizing user experiences as use cases for prompt engineering.
19:01 🧩 *Overview of Prompt Design and Engineering*
- Prompt design and prompt engineering are both essential in crafting effective prompts for generative AI models.
- Prompt design focuses on asking the right questions for meaningful outputs, while prompt engineering optimizes and refines models for specific needs.
20:25 👩‍🏫 *Introduction to Prompt Instruction Cheat Sheet*
- A helpful prompt instruction cheat sheet is introduced, breaking down the components of crafting good prompts.
- The cheat sheet covers elements like bot personas, user personas, verbs, output formats, length, level of detail, and tonality.
23:11 🤖 *Bot Persona Pattern*
- The concept of bot personas is explained, where the language model takes on a specific role or character, like an astrophysics professor or someone with a love of pirates, to shape responses.
- Different user personas can be applied to tailor responses for different audiences, such as explaining a complex topic to a 5-year-old or a high school student.
27:44 ✍️ *Tasking with Verbs*
- The verb or tasking component of prompts is discussed, where the language model is directed on how to perform the task.
- Examples include asking it to explain a topic, provide key points, or translate information, demonstrating the versatility of tasking.
34:52 📝 *Formatting Output*
- The importance of formatting the output of responses is highlighted, and various formats are demonstrated, including JSON, HTML, and even using all caps for emphasis.
38:30 🎯 *Prompt Engineering Basics*
- Prompt engineering allows you to control the AI's output.
- You can shape the AI's output in creative and controlled ways.
- Length or level of detail is a critical aspect of prompt engineering.
42:10 🕵️ *Persona Pattern Extensibility*
- The Persona pattern can go beyond human personas.
- You can make the AI pretend to be anything, not just experts in specific fields.
- It's a versatile pattern for a wide range of scenarios.
54:22 🔄 *Question Refinement Pattern*
- The Question Refinement pattern helps improve the precision and effectiveness of prompts.
- It involves iteratively refining your questions with the AI's assistance.
- You can go through multiple iterations to craft the perfect question.
57:56 🤖 *Question Refinement and Cognitive Verifier Pattern*
- Question refinement aims to improve the quality of questions for better responses from the language model.
- Cognitive verifier pattern involves breaking down
01:16:21 🧩 *Template Pattern*
- Template pattern is important for prompt engineering.
- Experiment with templates to format text as desired.
01:17:18 📝 *Meta Language Creation*
- Create shorthand instructions (Meta language) for frequently used tasks.
- Use Meta language in custom instructions for efficiency.
01:19:56 🍳 *Recipe Pattern*
- Recipe pattern provides step-by-step sequences to achieve goals, filling in missing actions.
- Useful for tasks like trip planning or complex processes.
01:24:26 ⚖️ *Alternative Approaches*
- Alternative approaches pattern presents different solutions with their pros and cons.
- Helps in making informed decisions for challenging tasks.
01:26:30 📥 *Ask for Input*
- Ask for Input pattern seeks specific content from users to process or act upon.
- Effective for interactive tasks that require user-provided information.
01:30:02 📑 *Outline Expansion Pattern*
- Outline Expansion Pattern generates bullet point outlines and allows expanding on selected points.
- Useful for organizing and exploring complex topics or ideas.
01:34:13 🌟 *Understanding Hallucination in AI Models*
- Hallucination in AI models can occur when they generate incorrect information that is not factual.
01:35:21 🔍 *Using the Fact Checklist Pattern*
- The Fact Checklist Pattern involves generating a set of crucial facts from the AI's output and checking them for accuracy.
01:39:11 🧩 *Semantic Filtering for Content Control*
- Semantic Filtering allows you to filter out specific content, such as names or sensitive information, from AI-generated text.

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[BadFoxAI]

Discovered your videos recently and I'm loving your AI content! Thanks for sharing your knowledge and insights 🙌

[markannese]

I am getting so much from your videos, my ADHD is Kicking in my OCD, can you recoment any books or articles for me to read and learn more about the things you went over in your videos, I noticed it sounded like you may have been reading from somwhere. Somtimes its nice to detach from the screen and get some book smarts, love the street smarts you give with the practicle applications.

[phelix]

✌🏾👍🏾👏🏾Dude, I love you for this. Thank you so much for doing this because I really need AI growth in my life so I can thrive and not be left behind.
Phelix

[AITools-kdmk]

20:29 A good analogy for Prompt Design and Prompt Engineering
- example, You are crafting a resume document

Prompt Design is asking the AI to "list out the vital sections" and "flow of thought" of your resume that will fit the requirements of the job your applying for

Prompt Engineering is asking the AI to deep dive and fill in each section with the accurate, relevant and fine-tuned details.

[iggymcgeek]

🚀🌌 Just dove into this mind-bending video about ChatGPT-4 and I'm on cloud nine! It's like discovering a hidden treasure trove of knowledge and wit. 📚✨ ChatGPT-4 isn't just a tech marvel; it's a virtual maestro of words, blending Einstein's intellect with Shakespeare's eloquence. 🎭🧠 Whether it's unraveling the mysteries of the cosmos or serving up a gourmet of words, this AI is in a league of its own. Hats off to the digital wizard that's making us all a tad smarter and a whole lot happier! #EnthralledByAI #ChatGPT4ForTheWin 🤩💫

[dalffoncorp.]

We are instructing what to search on YouTube. It's not a skill it is only collecting data intelligently.