Create unique Extract with ChatGPT
Search and store tool for Chat GPT Prompt
Create unique and engaging Extract with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
ChatGPT: Automate Extracting Words from Cells When Conditions are Met
Extract the fourth word in [Cell] only when cell [Cell Number] is greater than 100 and when [Cell] starts with the word xyz and ends with the word zyx Example: Extract the fourth word in A1 only when cell B1 is greater than 100 and when C1 starts with the word hello and ends with the word goodbye
Generate an Opinion about Using CONCATENATE, LEFT, and RIGHT Functions Together to Create a Formula
Write me an excel command to use the CONCATENATE, LEFT, and RIGHT function together to create a formula that extract a specific part of a text string
Generating an Opinion About the Use of LEFT, RIGHT, and MID Functions to Extract Characters from a Text String
Write me an excel command to use the LEFT, RIGHT, and MID functions to extract specific characters from a text string
How To Use The LEFT, RIGHT, And MID Functions To Extract Specific Characters From A Text String
How to use the LEFT, RIGHT, and MID functions to extract specific characters from a text string
Exploring Google Sheets Explore Feature to Extract Insights from Data
How do I use the Google Sheets Explore feature to extract insights from data?
Keyword Extraction: Extracting Meaningful Words from Text Sample
Perform keyword extraction on the following text: [text sample].
How to Extract Named Entities from Text Sample: Step by Step Guide
Extract named entities from the following text: [text sample].
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.