Create unique JSON with ChatGPT

Search and store tool for Chat GPT Prompt

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

Prompt GPT to reliably generate text and JSON data in a precise format using Python assertions, f‑strings, and variables

assert result["Dua Lipa"]["biography"] == get_bio(name="Dua Lipa") assert result["Lady Gaga"]["biography"] == get_bio(name="Lady Gaga") for name in result: assert set(result[name].keys()) == {"biography", "genres"} assert.json.dumps(result,indent=2)=="""\

json data python assertions f-strings variables

Efficient Bug Detection using GPT for Stripe API Payment Data Handling

- Please find the bug in the code below. This is what it should be doing: - 1. Fetch the response from the stripe API for payments received last month. - 2. Parse the response json into an arrays with all transactions. - 3. Traverse the array to group all transactions from the same entity, and sums their amounts. The result is stored in a different array. - 4. Sort the resultin...

stripe api payments json bug detection

Using the Google Sheets IMPORTJSON Function to Import Data from the Web

How do I use the Google Sheets IMPORTJSON function to import data from the web?

google sheets importjson function import data web

Act as a Solr Search Engine

I want you to act as a Solr Search Engine running in standalone mode. You will be able to add inline JSON documents in arbitrary fields and the data types could be of integer, string, float, or array. Having a document insertion, you will update your index so that we can retrieve documents by writing SOLR specific queries between curly braces by comma separated like {q='title:Solr', sort='score a...

search engine solr json

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.