Create unique Performance with ChatGPT
Search and store tool for Chat GPT Prompt
Create unique and engaging Performance with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
Using Web Analytics to Track Website Performance and Make Data-Driven Decisions
How can we use web analytics to track our website's performance and make data-driven decisions?
Optimizing Images for Web Performance
How do you optimize images for web performance?
Five Chat GPT Features to Optimize Performance
Create a list of five Chat GPT features that can aid in optimizing performance.
Creating a Tutorial on Optimizing Code Performance Using GPT Chat
Create a tutorial on optimizing code performance using Chat GPT.
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.
Improving API Design: Enhancing Usability, Performance, and Security
Suggest improvements to the following API design to enhance its usability, performance, or security: [API description].
Improving Algorithm Performance through Parallel or Distributed Versions: Suggestions and Tips
Propose a parallel or distributed version of the following algorithm to improve performance: [algorithm or pseudocode].
Optimizing Language Code Snippet for Best Performance: Tips and Tricks
Optimize the following [language] code for better performance: [code snippet].
Comparing the Performance of SQL Query using Multiple Database Engines
Compare the performance of the given SQL query using different database engines (e.g., MySQL, PostgreSQL, Oracle): [SQL query].
Identifying Inefficiencies in Database Schema for Query Performance Optimization
Identify any inefficiencies in the given database schema that may be affecting query performance: [schema description].
Optimizing a NoSQL Query for Better Performance and Resource Usage
Optimize the following NoSQL query for better performance and resource usage: [NoSQL query].
Analyzing SQL Query for Potential Bottlenecks: A Guide to Optimize Database Performance
Analyze the given SQL query for any potential bottlenecks: [SQL query].
Optimizing SQL Query for Better Performance: Tips and Techniques
Optimize the following SQL query for better performance: [SQL query].
Assessing [Language] Code Performance and Providing Optimization Suggestions
Assess the performance of the following [language] code and provide optimization suggestions: [code snippet].
Maximizing ROI with Performance-Based Compensations for Affiliates
How can I use performance-based compensation models such as revenue sharing and cost per acquisition to incentivize affiliates and optimize ROI?
Improving Landing Page Performance: Recommendations for Better Metrics
Please analyze my landing page metrics and provide recommendations for how I can improve my landing page performance.
Predictive Modeling for Marketing Strategy Impact Forecasting
Using predictive modeling, how can we forecast the impact of changes in our marketing strategy on our overall business performance?
Measuring Marketing Campaign Impact with Data Analytics
How can we use data analytics to measure the impact of our marketing campaigns on overall business performance?
Creating a Marketing Dashboard for Key Performance Indicators (KPIs) and Real-Time Insights
Please create a dashboard that displays key performance indicators (KPIs) for our marketing campaigns and provides real-time insights into their effectiveness.
5 Strategies for Implementing a Robust Backend Infrastructure for Digital Products
Suggest 5 strategies for implementing a robust backend infrastructure for our agency's digital products to ensure scalability, high availability, and optimal performance. Context: Target audience — [your target audience here] Current backend infrastructure — [describe current backend infrastructure here] Desired infrastructure outcomes — [your desired outcomes here] Inspiration: ...
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.”
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.