Create unique Tech with ChatGPT
Search and store tool for Chat GPT Prompt
Create unique and engaging Tech with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
Transitioning from Technical to [Language] Development: Expert Opinion and Tips
Share advice on how to transition from a different technical role to a [language] development role.
Effective Communication Strategies for Technical Decisions and Trade-Offs with Non-Technical Stakeholders
Share advice on how to effectively communicate technical decisions and trade-offs to non-technical stakeholders.
Balancing Technical Debt and Feature Development in [Language] Projects
Recommend approaches to balancing technical debt and feature development in a [language] project.
Proposing Techniques for Creating a Culture of Continuous Learning within a Development Team
Propose techniques for creating a culture of continuous learning and improvement within a [language] development team.
Evaluating Performance Feedback in Technical Interview for [Language]
Evaluate and provide feedback on my performance during a [language] technical interview, including areas for improvement and strengths.
Conducting a [Language] Technical Interview: Problem-Solving, Coding and Thought Process
Conduct a mock [language] technical interview, including problem-solving, coding, and explanation of thought process.
Common Language Technical Interview Questions and Solutions
Provide examples of common [language] technical interview questions and their solutions.
Tips for Approaching Language Coding Problems during Technical Interviews
Share tips and advice on how to approach and solve [language] coding problems during a technical interview.
Effective [Language] Coding Challenges for Technical Interview Preparation
Suggest [language] coding exercises or challenges to practice for a technical interview.
Establishing Communication Channels for Technical Issues
Help establish a communication channel between [team member 1] and [team member 2] to discuss and resolve [technical issue or question].
Designing a Heatmap for Correlation between Multiple Variables: Tips and Techniques
Design a heatmap that represents the correlation between the following variables: [variable list].
Identifying and Preventing Recurrence of Issues: Tips and Techniques for Root Cause Analysis
Identify the root cause of the given issue and propose steps to prevent its recurrence: [issue description].
How to Choose a Suitable Programming Language for a Project: Tips and Recommendations
Based on the given project requirements, recommend a suitable [programming language, framework, or technology]: [requirements description].
Creating an Effective Wireframe for Streamlining Workflows on Your Web/Mobile App
Create a wireframe for a [web/mobile] app that streamlines user workflows for [specific use case].
How to Identify the Main Topic(s) of Text with Opinion Generation
Identify the main topic(s) of the following text: [text sample].
Performing Sentiment Analysis: How to Identify Emotions in Texts
Perform sentiment analysis on the following text: [text sample].
Analyzing Coding Style for [Language]: [Code Snippet], Tips and Techniques
Analyze the given [language] code for adherence to [coding style guidelines]: [code snippet].
Creating a Language Function for Data Structure Operations: a Technical Guide
Create a [language] function to perform [operation] on [data structure] with the following inputs: [input variables] and expected output: [output description].
Creating Chatbot Strategy for Customer Support and Sales Funnel Guidance
Can you create a chatbot strategy that uses automated conversational interfaces to provide customer support, answer frequently asked questions, and guide users through my sales funnel?
Validating Hypotheses and Iterating Designs Using A/B Testing and Experimentation Techniques
How can I use A/B testing and other experimentation techniques to validate my hypotheses and iterate on my designs?
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.