Create unique VLOOKUP with ChatGPT

Search and store tool for Chat GPT Prompt

Create unique and engaging VLOOKUP with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.

Using ChatGPT to Easily Combine VLOOKUP and INDEX Functions in Excel for Quick Data Retrieval

Write me an excel command to use the VLOOKUP and INDEX function together to lookup values in a table and retrieve a corresponding value from a different column

excel vlookup index lookup table retrieve

Create an Opinion on Excel Formulas Using VLOOKUP, INDEX and MATCH Functions Together

Write me an excel command to use the VLOOKUP, INDEX and MATCH functions together to create a robust data lookup formula

excel vlookup index match data lookup formula

Using the VLOOKUP Function to Retrieve Data from a Table

How to use the VLOOKUP function to retrieve data from a table based on a lookup value

vlookup function retrieve data table lookup value

How to Use Lookup Functions in Google Sheets (e.g. VLOOKUP, HLOOKUP, INDEX, MATCH)

How do I use the lookup functions in Google Sheets (e.g., VLOOKUP, HLOOKUP, INDEX, MATCH)?

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Using VLOOKUP to Perform a Lookup in Google Sheets

How do I use the VLOOKUP function to perform a lookup in Google Sheets?

google sheets vlookup lookup function

How to Use VLOOKUP Function in Google Sheets

How do I use the VLOOKUP function in Google Sheets?

google sheets vlookup function programming

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.