Create unique brand story with ChatGPT
Search and store tool for Chat GPT Prompt
Create unique and engaging brand story with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
Effective ways to use Brand Storytelling for Community and Social Impact
What are some effective ways to use brand storytelling to foster community and social impact, and create a purpose-driven brand image?
Building Brand Loyalty with Storytelling and Emotional Marketing Strategy
Can you create a brand storytelling and narrative marketing strategy that uses compelling stories and emotional connections to differentiate my brand, engage my target audience, and build brand loyalty?
Creating Employee Advocacy Concepts to Amplify Brand Story
Create [number] creative concepts for an employee advocacy program that empowers our team members to share our brand story and amplify our message. Context: Target audience — [your target audience here] What I do — [your elevator pitch here] Content topics — [your content topics here] Advocacy goals — [your advocacy goals here] Inspiration: "[employee advocacy inspiration one]" "[employee ...
Improving Brand Storytelling Strategy | Narrative Marketing Analysis and Recommendations
Please analyze my brand storytelling and narrative marketing metrics and provide recommendations for how I can improve my strategy.
Creating a Winning Video Marketing Strategy that Engages Your Target Audience
Can you create a video marketing strategy that uses engaging video content to tell my brand's story, showcase my products or services, and connect with my target audience?
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.