Create unique LEN with ChatGPT
Search and store tool for Chat GPT Prompt
Create unique and engaging LEN with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
Identifying Challenges and Solutions for Interoperability among Different Technologies
Identify potential challenges and solutions for interoperability between the following systems or technologies: [system or technology list].
Identifying Potential Risks and Challenges in Implementing Project Requirements
Identify potential risks or challenges in implementing the given project requirements: [requirements description].
Analyzing SQL Query for Potential Bottlenecks: A Guide to Optimize Database Performance
Analyze the given SQL query for any potential bottlenecks: [SQL query].
5 Creative Concepts for a Mix of Promotional, Educational and Engaging Content Calendar | ChatGPT Opinion
Generate 5 creative concepts for a content calendar that outlines a mix of promotional, educational, and engaging content for our target audience. Context: Target audience — [your target audience here] What I do — [your elevator pitch here] Content topics — [your content topics here] Content mix — [your content mix here] Inspiration: "[content calendar inspiration one]" "[content calendar ...
Sally Mann enjoying bread and water
Sally Mann, a glass of water and a loaf of bread sunset light, 15mm lens, details. black and white --ar 1000:666 --q 2 --v 4
Sipping the Sunset: Woman Drinking Water
A woman drinking water from a glass, sunset light, 20 mm lens, black and white, closeup --ar 1000:666 --q 2 --v 4
Magical Hufflepuff Breakfast at Hogwarts
Harry Potter, Hogwarts vibe, Hufflepuff background, Hufflepuff scarf on the table, magic world, breakfast feast, avocado toast, yogurt, fancy, lively, realistic, professional photography, individual picture, Lens saturation, Golden ratio, Captured with a Hasselblad X1D 50C, f1. 9 - f2. 8 - f4, ISO 100 - ISO 800
Using Metrics to Measure the Impact of Email Content Length on Engagement
How can I use metrics to measure the impact of email content length on engagement?
Determining the Best Email Length for Campaigns using A/B Testing
How can I use A/B testing to determine the best email length for my campaigns?
Creating a List of Teaching Strategies for Engaging and Challenging Students
Create a list of 5 teaching strategies that could be used to engage and challenge students of different ability levels in a lesson on [concept being taught]
Creating a Content Calendar with Six Blog Titles and Publishing Dates for May 2023
Create a content calendar with six blog titles, including the keyword <paste text here>. Pick suitable publishing dates for each guide spread across May 2023.
Exploring the Benefits and Challenges of Homeschooling
Can you explain the benefits and challenges of homeschooling?
What is the Difference Between a Traditional Classroom and a Blended Learning Environment?
What is the difference between a traditional classroom and a blended learning environment?
What is “prompt engineering”?
A “prompt” is the input that guides a generative AI model to generate useful outputs. Generative AI tools like ChatGPT, GPT, DALL·E 2, Stable Diffusion, Midjourney, etc. all require prompting as their input.
In a natural language processing (NLP) context, “prompt engineering” is the process of discovering inputs that yield desirable or useful results. As is the story with any processes, better inputs yield better outputs; or commonly said another way “garbage in, garbage out.”
![Source: https://www.youtube.com/watch?v=1NQWJjgi-_k
Designing effective and efficient prompts will increase the likelihood of receiving a response that is both favorable and contextual. With a good prompt, you can spend less time editing content and more time generating it.
Going from beginner → advanced prompt engineer
As companies like PromptBase arise around the idea that the prompt is the “secret sauce” to using generative AI, prompt engineering could easily become the “career of the future.” But, any generative AI user can become an “advanced” prompt engineer. Here’s how
Spend time with the tools
- The more time you spend asking ChatGPT questions and receiving responses, the better your idea will be of various prompting approaches and their individual strengths and weaknesses
- Use Open AI’s GPT playground to perform interactive trial and error with variations in your prompt, model, temperature and top_p values (uniqueness of answer, i.e. creativity), and more available within the UI itself.
Become a prompt researcher instead of engineer
- If you’re already a subject matter expert in something, consider figuring out how to apply your personal skills to generating the best prompts in your field
- For example, if you’re an expert in SEO, what questions do you ask yourself when creating SEO strategies? How can you translate this knowledge into better prompts to generate the same level of output with AI?
Become a prompt researcher instead of engineer
- The term prompt engineer glosses over the idea that prompt formulation takes hypothesizing, research, result measurement, and repetition. Instead, approach prompting like a research project.
- Try as many different variations and formulations of your prompt as possible. One problem can have hundreds of solutions and one solution can have hundreds of approaches. The same can be said of prompting.