Create unique medical student with ChatGPT

Search and store tool for Chat GPT Prompt

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

Prepare a Letter of Recommendation for a Medical Student

Prepare a letter of recommendation for my medical student who has shown exceptional promise during her rotation in my clinic. She was punctual, efficient, and bonded well with patients and their families.

letter of recommendation medical student exceptional promise clinic punctual efficient patient bonding

Letter of Rec for Med Student

medical student letter of recommendation punctual efficient patient care

Letter of Rec for Med Student in Derm

Preview

Write a letter of recommendation for a medical student on their dermatology elective rotation. They were a fantastic worker and always went above and beyond with patient care.

letter of recommendation medical student dermatology elective rotation patient care

Medical Shield Logo with Words

Preview

The logo features a shield shape with a green background and black border. In the center of the shield is a medical cross symbol in black, which represents your group's identity as medical students. Above the medical cross is the word "SALVATOR" in bold, black letters. Above the medical cross is the word "ULTRAS" in smaller, black letters.--v 4 --ar 1:1

logo design medical students identity

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.