Create unique e learning with ChatGPT

Search and store tool for Chat GPT Prompt

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

Automating Customer Feedback Analysis with Machine Learning Algorithms for Faster Insights

Using machine learning algorithms, how can we automate our customer feedback analysis for faster and more accurate insights?

machine learning customer feedback automation

Personalizing Social Media Marketing Messaging with Machine Learning Algorithms for Increased Engagement and Conversions

Using machine learning algorithms, how can we personalize our social media marketing messaging for increased engagement and conversions?

machine learning social media marketing messaging

Optimizing Website User Experience with Machine Learning Algorithms for Increased Engagement and Conversions

Using machine learning algorithms, how can we optimize our website's user experience for increased engagement and conversions?

website optimization machine learning user engagement

Personalizing Website User Experience through Machine Learning

Using machine learning algorithms, how can we personalize our website's user experience for increased engagement and conversions?

machine learning website personalization user engagement

Automating Lead Scoring and Nurturing with Machine Learning Algorithms

Using machine learning algorithms, how can we automate lead scoring and lead nurturing for increased efficiency and effectiveness?

machine learning lead scoring lead nurturing

Optimizing Email Marketing Campaigns Using Machine Learning Algorithms for Increased Engagement and Conversions

Using machine learning algorithms, how can we optimize our email marketing campaigns for increased engagement and conversions?

email marketing machine learning conversions

Predicting Customer Churn with Machine Learning Algorithms: Strategies for Retention

Using machine learning algorithms, how can we predict which customers are most likely to churn and implement retention strategies accordingly?

customer churn machine learning retention strategies

Personalizing Marketing Messages Using Machine Learning

Using machine learning algorithms, how can we personalize our marketing messages to individual customers for increased engagement and conversions?

machine learning marketing engagement

Automating Customer Support with Machine Learning Algorithms

Using machine learning algorithms, how can we automate our customer support system to provide faster and more accurate responses to customer inquiries?

machine learning customer support automation

5 Ways to Implement Machine Learning and AI in Your Digital Products

Preview

Create a list of 5 ideas for implementing machine learning or AI solutions in our agency's digital products to enhance user experience. Context: Target audience — [your target audience here] Current digital products — [list your digital products here] AI/ML readiness — [describe your AI/ML readiness here] Inspiration: "[AI/ML solution inspiration one]" "[AI/ML solution in...

machine learning ai digital products

Create a Lesson Outline for a Lesson on [Concept Being Taught]

Create a lesson outline for a lesson on [concept being taught] that includes learning objectives, creative activities, and success criteria.

lesson outline learning objectives creative activities success criteria

What are the Benefits of Attending a Bilingual School?

What are the benefits of attending a bilingual school?

bilingual school bilingual education language learning cultural benefits

Act as a Machine Learning Engineer

I want you to act as a machine learning engineer. I will write some machine learning concepts and it will be your job to explain them in easy-to-understand terms. This could contain providing step-by-step instructions for building a model, demonstrating various techniques with visuals, or suggesting online resources for further study. My first suggestion request is "I have a dataset without label...

machine learning unsupervised learning dataset

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.