Best Way to Word Questions When Using ChatGPT

To get the best results and leverage ChatGPT effectively, here are some tips for wording your questions:

1.     Be specific: Provide as much relevant information as possible in your question. This helps ChatGPT understand the context and provide a more accurate response. For example, instead of asking “Who won the Best Actor award?” you could ask “Who won the Best Actor award at the Oscars in 2021?”

2.     Use clear language: Use plain and concise language in your questions. Avoid ambiguity or complex sentence structures that might confuse the model. Stick to simple, direct questions to get the most straightforward answers.

3.     Break down complex queries: If you have a complex question, consider breaking it down into smaller, more manageable parts. This allows ChatGPT to focus on each component separately and provide better responses. You can follow up with additional related questions to delve deeper into the topic.

4.     Specify the domain or context: If your question pertains to a specific domain or context, it’s helpful to mention it explicitly. For instance, if you’re asking about “current trends in artificial intelligence,” including the term “artificial intelligence” clarifies the topic and ensures more accurate results.

5.     Avoid ambiguous pronouns: Ambiguous pronouns like “it,” “this,” or “that” can confuse ChatGPT. Instead, refer explicitly to the subject you’re discussing. For example, rather than asking “What are the symptoms and treatments?” you can ask “What are the symptoms of COVID-19, and what are the common treatments for the virus?”

6.     Be polite and respectful: Maintaining a polite and respectful tone in your questions helps foster a positive interaction with ChatGPT. It’s important to remember that ChatGPT is an AI model and may not have emotional understanding or subjective opinions.

By following these guidelines, you can improve the effectiveness of your questions and enhance your overall experience with ChatGPT. (Source ChatGPT)


How Can College Students Benefit From Using ChatGPT-4? Here’s the Answer.

There are many ways that college students can use GPT-4 to support their academic work and improve their overall learning experience. Here are a few examples:

  1. Writing Assistance: College students can use GPT-4 to generate high-quality, plagiarism-free essays and research papers. By providing the model with a prompt or topic, GPT-4 can quickly generate well-structured paragraphs and sentences for students to build upon.
  2. Language Learning: GPT-4 can generate text in multiple languages, providing college students with an opportunity to improve their language skills. Students can use GPT-4 to generate sample sentences or paragraphs in the language they are learning, or to translate text to and from other languages.
  3. Research Assistance: GPT-4 can help college students with research by generating summaries of articles, providing references, and answering specific questions related to a research topic. By providing GPT-4 with a question or prompt, it can quickly scan through articles and provide relevant information to the student.
  4. Personalized Learning: GPT-4 can be used to create personalized learning experiences for college students. By analyzing a student’s learning history and style, GPT-4 can generate custom learning materials and assessments that cater to the student’s individual needs and preferences.
  5. Study Assistance: College students can use GPT-4 to generate flashcards, quiz questions, and other study materials to help them prepare for exams or review material. By providing GPT-4 with a set of questions or prompts, it can generate a variety of study materials to test a student’s understanding of the material.

In conclusion, GPT-4 has the potential to revolutionize the way college students learn and study. By providing personalized assistance with writing, research, language learning, and studying, GPT-4 can help students succeed academically and achieve their learning goals more effectively.

An yes, the content in this post was written by GPT-4.

What’s Next For ChatGPT?

According to ChatGPT:

As an AI language model, I don’t have access to the most up-to-date information on advancements in AI research beyond my knowledge cutoff in September 2021. However, there are several directions that AI researchers may explore in the future to improve upon models like ChatGPT. Here are a few possibilities:

  1. Enhanced Natural Language Understanding: Future models may focus on improving the understanding of context, nuances, and subtleties in language. This includes better comprehension of complex queries, idiomatic expressions, and sarcasm, which can sometimes be challenging for current models.
  2. Better Commonsense Reasoning: AI models could be developed to have a deeper understanding of common sense and world knowledge. This would enable them to generate more accurate and contextually appropriate responses by leveraging a broader understanding of the world.
  3. Increased Interactivity and Context Retention: Future models may be designed to have better memory and recall capabilities, enabling them to maintain a more consistent and coherent conversation over extended interactions. This would involve retaining context from previous interactions and referencing that context appropriately.
  4. Customizability and Personalization: Researchers might explore methods to allow users to customize and personalize AI models according to their specific needs and preferences. This could involve training models on individual data or fine-tuning them to better align with an individual’s values and preferences.
  5. Ethical and Responsible AI: As AI technology progresses, there is an increasing focus on ethical considerations. Future models may incorporate robust safeguards to mitigate biases, improve transparency, ensure privacy, and address other ethical concerns associated with AI systems.

It’s important to note that the future of AI is unpredictable, and there may be other breakthroughs and directions that emerge beyond what is mentioned here. Advancements in AI are a rapidly evolving field, and new models and techniques are continually being developed to push the boundaries of what is possible.

Agree? Disagree? Please share your comments.

HOT JOB: “The AI Job That Pays Up to $335K—and You Don’t Need a Computer Engineering Background.”

From Time Magazine:

Unlike traditional coding jobs, the prompt engineering role is targeted to anyone with basicprogramming skills and familiarity with large language models such as ChatGPT or Bard.

Frank Rumpenhorst–Picture Alliance via Getty Images)

A new kind of AI job is emerging—and it pays six-figure salaries and doesn’t require a degreein computer engineering, or even advanced coding skills.

With the rise in generative artificial intelligence, a host of companies are now looking to hire“prompt engineers” who are tasked with training the emerging crop of AI tools to delivermore accurate and relevant responses to the questions real people are likely to pose.

Read more at:

How to Use AI to Solve Problems

Artificial intelligence (AI) is a powerful tool that can be used to solve a wide variety of problems. Here are some tips on how to use AI to solve problems:

  1. Define the problem. The first step is to clearly define the problem that you want to solve. What are the specific goals that you want to achieve? What are the constraints that you are working with? Once you have a clear understanding of the problem, you can start to think about how AI can help you solve it.
  2. Gather data. AI algorithms need data to learn and improve. The more data you have, the better your AI models will be able to perform. There are a variety of ways to gather data, such as collecting it from sensors, scraping it from the web, or generating it synthetically.
  3. Choose the right AI algorithm. There are many different AI algorithms available, each with its own strengths and weaknesses. The best algorithm for your problem will depend on the specific characteristics of the problem, the amount of data you have, and the desired accuracy and performance.
  4. Train the AI model. Once you have chosen an AI algorithm, you need to train it on your data. This process involves feeding the algorithm your data and allowing it to learn from it. The training process can take a long time, depending on the complexity of the algorithm and the amount of data you have.
  5. Evaluate the AI model. Once the AI model has been trained, you need to evaluate its performance. This involves testing the model on a set of data that it has not seen before. The evaluation results will help you to determine whether the model is ready to be used in production.
  6. Deploy the AI model. Once the AI model has been evaluated and found to be satisfactory, you can deploy it in production. This means making the model available to users so that they can use it to solve problems.

Using AI to solve problems can be a complex process, but it can also be very rewarding. By following these tips, you can increase your chances of success.

Here are some additional tips for using AI to solve problems:

  • Start small. Don’t try to solve too big of a problem all at once. Start with a small, well-defined problem that you can solve with a relatively simple AI model.
  • Get help from experts. If you’re not familiar with AI, don’t be afraid to get help from experts. There are many resources available to help you learn about AI and how to use it to solve problems.
  • Be patient. Learning how to use AI to solve problems takes time and effort. Don’t expect to be an expert overnight. Just keep practicing and learning, and you’ll eventually be able to use AI to solve problems effectively.
  • #ai #artificialintelligence #chatGPT #BARD

Social Media Ethics Made Easy

Social Media Ethics Made Easy: How to Comply With FTC Guidelines

Joseph W. Barnes

E-book Price: $19.95
Number of Pages:  120
Print ISBN:  9781606498521
E-book ISBN:  9781606498538

book Barnes Book Flyer.png NEW URL

Social Media Ethics Made Easy takes an in-depth look at the risks of social, digital and mobile media marketing without structured policies. Readers will learn what is at stake from the law to their reputation, and what happens if businesses and/or individuals do not disclose relationships or comply with (FTC) Federal Trade Commission regulations. Readers will come to understand what they should do, why, and how they should do it.

The issues in this book affect every single business from for-profits, to nonprofits, to government and educational institutions. It also addresses the impact on every single social/digital media participant and why they must learn about these guidelines so they can protect their own personal brand. This book is intended for a broad audience including students and professors in both undergrad and graduate schools, and practicing business executives. The goal is to inform management practice and help current and future business leaders navigate through the ethical laws and compliance issues affecting social, digital and mobile media.

New Trends in Business Communications

There are some important new trends happening in business communications to be aware of which will affect how you do business.


Mobile connectivity offers you the opportunity to not only listen to your client and customer needs 24/7, you have a rare opportunity to see them face to face using FaceTime or Skype. These are important whether you manage people, are in marketing and sales, or consulting. You most important customer is your current customer. It’s important you understand your customers wants and needs and “over-deliver” on them. By seeing them face to face you have the opportunity to see some of the important body language that would be missing in a phone call or written message.


The cloud in all of it’s forms offers the opportunity for sharing. Many businesses think of the cloud as storage. Instead, think of the cloud as a sort of Google Docs opportunity. When you work with clients, what do you need to collaborate on that would be beneficial to all parties if accessible via the cloud in 24/7 real time. 


Remember everyone is trying to hack into someone, whether personal or business. We must all be on guard. Nothing damages the reputation of business more than a breach of security. Trust is the heart of every business. If you have checked your security, check again. If any employee uses WiFi outside the office, it must be secure, not at a coffee shop or airport. How simple is it to hack? I found a car in my neighborhood just a few years ago full of scanners going up and down the street looking for home WiFi networks to hack. 


Nothing is more powerful than giving your clients and customers “remarkable service.” Good isn’t enough anymore. Good is average. Today you must give remarkable service at every touch point in your business; this means service and experiences that are so remarkable your customers and clients would go out of their way to tell others how great you are. Anything less and you are wasting your money. 

Action Tip: This means who you hire at a front desk, to answer phones, etc., may be your most important hires because they have the first contact with customers.

Get Relevant or Die!

Are Your Posts As Relevant and Interesting as They Could Be? Should Be? 

Everyday people ask me what they should post. I always give them the same answer: News that is relevant and interesting to your followers. The rule is that 80% of your posts should be relevant and interesting to your followers, and only 20% self-promotion. Why? Who wants to follow a business that only promotes itself (unless you are giving out 50% off coupons). 

In business, as in life, to get sales, you need to help your clients and customers be more successful. To do that effectively you need to know them well, know their wants and needs, and give them information and news that will help them.

If you are a medical facility, what are the health stories that will be of interest to your patients? High tech? What are the industry stories your clients want to know? 

It’s all about being known as a “thought leader,” creating and having the conversations that are relevant to your clients, and giving them information that will help them succeed. That is what builds bonds and relationships. That is what builds meaningful sales leads.