Create unique timeline with ChatGPT
Search and store tool for Chat GPT Prompt
Create unique and engaging timeline with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
7 Proven ChatGPT Prompts: Develop project timeline
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7 Innovative ChatGPT Prompts: Provide project guidance to team
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6 Strategic ChatGPT Prompts: Creating project timelines
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7 Innovative ChatGPT Prompts: Create project timeline
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7 Proven ChatGPT Prompts: Generating custom partner event plans
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What is the Best Timeline for Product Launches of {Our App} with ChatGPT?
What kind of timeline should we use for product launches of {our app}?
Using Google Sheets Histogram Chart Feature to Visualize Project Timelines
How do I use the Google Sheets histogram chart feature to visualize project timelines?
Writing an Email to a Client Regarding a Change in the Project Timeline
I need to write an email to a client regarding a change in the project timeline. Can you give me some guidance on how to phrase it?
How to Develop a High-Level Project Plan for a Successful Project
Develop a high-level project plan that includes tasks, resources, and timelines for a project with the following objectives: [project objectives].
How do I use the Google Sheets Gantt chart feature to visualize project timelines?
Impact of Issue Description on Project Timeline and Required Effort Estimate
Estimate the effort required to resolve the following issue and its impact on the project timeline: [issue description].
Estimating Project Timeline and Milestones for Given Requirements: Tips and Techniques
Estimate the timeline and milestones for a project with the following requirements: [requirements description].
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.