ChatGPT: The Next Big Thing in AI

Remember watching dystopian movies 20 or 30 years ago when the idea of artificial intelligence that automated everything would sound incredulous? The idea of robots and automated cars or flying cars and holographic screens fascinated me. But today, we live in a time of profound innovation when a lot of it has come true, and it seems that OpenAI’s ChatGPT has taken over this world now. Do you know what is amazing about that? The rate of its adoption is through the roof. It reached 1 million users in 5 days. Even more impressive is that OpenAI ChatGPT reached an estimated 100 million active monthly users last month, only two months from launch.

I remember when it launched. It was a wild thing to imagine being true. I couldn’t even think of the possible implications. Who’d ever write an essay on their own?

Could ChatGPT AI technology be to text what calculators are to math? Could OpenAI ChatGPT become seamlessly integrated into our lives? Is that a good thing or a scary thing? Let’s find out the answers to these and many more questions below.

What is ChatGPT?

OpenAI ChatGPT is a conversational AI model. It uses a transformer-based neural network architecture to generate human-like responses to textual inputs. It can be used for various applications such as customer service, personal assistants, and language translation. We will explore this and much more in this article. There is a lot of exciting stuff to discuss when ChatGPT in AI is mentioned.

Why should you use ChatGPT?

In case you have been living under a rock, don’t worry. I will tell you a few convincing reasons to check ChatGPT today, in 2023. At this point, I might add that some people have been struggling with signing up lately. Thus, it’s possibly due to the huge load on its servers during peak hours or just because they’re trying to restrict new users. Do you want to know how you can use it?

You may use OpenAI ChatGPT AI for:

1. Improving customer service by providing fast and accurate responses to common queries.
2. Generating human responses for AI applications such as chatbots.
3. Reducing workload by automating repetitive tasks.
4. Supporting language generation for content creation (essays, social media, etc.).
5. Helping make writing code easier by providing clear instructions.
6. Remembering what a user says and following up in the future.

Current and Potential Applications:

If there’s one thing to know about ChatGPT… it is that it’s versatile! There’s quite possibly “no” limit to the use cases. With that said, let’s see the current and potential applications of OpenAI ChatGPT:

1. Chatbots for customer service and support.
2. Virtual personal assistants for scheduling, reminders, and task management w/o extra cost.
3. Content creation, such as automated news summaries and language translation or social media content.
4. Question & answering systems for quick access.
5. Generating textual responses for virtual assistants like Siri.
6. Automated conversation generation for social media and messaging apps.
7. Generating captions for images and videos.
8. Generating code snippets for programming languages.
9. Asking for social, cultural, and other types of information.

OpenAI ChatGPT AI Limitations:

Of course, ChatGPT chat isn’t all flowers and daisies. As with most things you see, there are certain downsides to it. Even if it is useful for a wide variety of use cases, there are disadvantages of ChatGPT chat, such as:

1. Lack of common sense: ChatGPT may not have the ability to understand the context and make decisions based on common sense knowledge.
2. Limited domain knowledge: ChatGPT may not be able to understand or generate responses for niche or specific domains.
3. No Contextual Awareness: ChatGPT can provide answers based on the text input, but it can’t understand the context or maintain a conversation as a human would.
4. Lack of Emotions or Personal Experiences: ChatGPT doesn’t have emotions, personal experiences, or physical senses.
5. No Creativity or Original Thoughts: The responses are generated based on patterns in the data that ChatGPT was trained on, but it can’t come up with original ideas or be creative in the same way that a human can.
6. Knowledge Cutoff: ChatGPT was trained on data up to 2021– it is not aware of information after that point. Here’s what ChatGPT said when I asked this question:

How to Cope With ChatGPT Limitations:

Guess what? Despite these disadvantages, it’s still effective with its many possible applications. A lot of times, you won’t even notice the cons. But in case you do, how can one cope with these issues? Well, luckily, OpenAI’s ChatGPT lets you in on how to overcome its shortcomings.

1. Use data pre-processing techniques to reduce bias in the training data.
2. Add domain-specific knowledge into the model training process.
3. Monitor and regularly evaluate model outputs to identify and address ethical concerns.
4. Use human oversight and review for sensitive applications.
5. Combine the model’s output with other AI techniques to improve its performance and address limitations.

Jinkies! What is this Debate about?

ChatGPT is a deep learning-based language generation model that can generate large amounts of high-quality text quickly and efficiently. While it can generate code, it is not likely to replace programmers. The main reason is that ChatGPT has limitations in terms of efficiency, creativity, and understanding of the context of the code. Below, I have gone in-depth to discuss the why.

ChatGPT vs. Programmers: Key Differences

Programmers have a deep understanding of the programming languages they use and can write code that is both efficient and readable. ChatGPT, on the other hand, may generate code that is less efficient. Also, ChatGPT is not capable of debugging code or identifying and fixing bugs, which are crucial aspects of programming.

A human programmer can understand the requirements of a project and how different pieces of code interact with each other. ChatGPT can’t understand the implications of the code or its link with other parts of the program.

However, ChatGPT can still be a valuable “tool” for programmers. For example, it can help with repetitive tasks such as code generation, saving programmers time and effort. It can also generate code snippets or solutions to common problems, which can be useful for beginners. Furthermore, ChatGPT can analyze large amounts of code or data, which can help programmers identify patterns and make decisions.

In conclusion, while ChatGPT can generate code, it will not likely replace programmers. ChatGPT is a powerful tool that can aid the programming process, but it’s not a replacement for human intelligence and creativity.

For example, here is the code it generates when I ask it to write me the code for a writer’s portfolio website:

import React from 'react';

class Portfolio extends React.Component {
  render() {
    return (
      <div>
        <nav>
          <ul>
            <li>Home</li>
            <li>About</li>
            <li>Portfolio</li>
            <li>Contact</li>
          </ul>
        </nav>

        <header>
          <h1>Welcome to My Writer Portfolio</h1>
          <p>I'm a freelance writer with a passion for storytelling.</p>
        </header>

        <main>
          <section>
            <h2>About Me</h2>
            <p>
              My name is John Doe, and I'm a freelance writer with over 5 years
              of experience. I specialize in writing blog posts, articles, and
              short stories.
            </p>
          </section>

          <section>
            <h2>My Portfolio</h2>
            <ul>
              <li>
                <a href="#">Blog Post 1</a>
              </li>
              <li>
                <a href="#">Blog Post 2</a>
              </li>
              <li>
                <a href="#">Article 1</a>
              </li>
              <li>
                <a href="#">Short Story 1</a>
              </li>
            </ul>
          </section>

          <section>
            <h2>Contact Me</h2>
            <form>
              <input type="text" placeholder="Your Name" />
              <input type="email" placeholder="Your Email" />
              <textarea placeholder="Your Message"></textarea>
              <button>Submit</button>
            </form>
          </section>
        </main>

        <footer>
          <p>
            &copy; {new Date().getFullYear()} My Writer Portfolio. All rights
            reserved.
          </p>
        </footer>
      </div>
    );
  }
}

export default Portfolio;

I’m still not convinced… Tell me… Why should I really use ChatGPT?

So, the real-world possibilities of ChatGPT don’t just end there. There’s still so much to explore and do with it. I have taken the liberty to brainstorm a few of them. Here’s a list below:

• Use it as a social media manager to regularly create new content for you.
• You can even ask for finance tips, e.g., the best stock to invest in. Note that this is not advised because you may lose your money instead of profiting.
• Imagine being stuck on an assignment or homework. You don’t have anyone to ask either. Well, you can simply get the help you need with ChatGPT.
• You can use it to suggest and generate a list of catchy titles– these are essential in pulling the audience to your content.
• One hidden use is to generate book titles and book blurbs. It’s amazing if you provide information about your book.
• You know what? You don’t have to sift through many Google results to find what you’re looking for now. For example, if you want a recipe to make pasta. Simply ask ChatGPT to provide you with a recipe. Similarly, you can also create a travel itinerary with it.
• Some people have had success in designing games with the deep-learning model.
• Use it for SEO. You can get help with content generation, keyword research, analysis, and market research, etc. You can also compare certain keywords if you wonder which would rank better in your article. See the result below:

But wait… there’s more… AI apps:

• Whisper AI: Whisper AI is offered by OpenAI as an open-source automatic search recognition neural net model. It has been trained on nearly 700,000 hours of multilingual supervised data. It approaches the human level of speech accuracy.
• Midjourney: Midjourney is an AI-based art generator based on given commands. It’s an interactive bot that processes your textual description. The result is a unique image from the combination of existing images based on your text. You can use Midjourney, Whisper AI, and ChatGPT Chat in tandem to completely automate content creation.
• ChatSonic: ChatSonic is basically like ChatGPT-pro; it is like a supercharged version. It aims to address its limitations. How can it do that? It allows the creation of AI images and provides more conversational and trending content. Not only that, but it also has several personalities for its content creation and voice recognition. Also, it is powered by Google Search, allowing it to stay updated with the latest events and data. Hence, it edges ChatGPT in terms of reliability and accuracy.
• Taskade AI: It is used as a productivity assistant that helps with organizing content. writing and even creating long-form content. Also, Taskade AI has five functions. Add a backslash followed by one of these after the text:
  • /outline
  • /ask
  • /expand
  • /rewrite
  • /summarize

Future AI Market Competitors:

While currently, GPT-3 powered ChatGPT is the neural prediction model to beat, the future may change that. Below are the potential ChatGPT market competitors in the future:

1. Google’s BERT and Google Assistant.
2. Microsoft’s language models, such as Microsoft Turing.
3. IBM’s Watson and its language-related services.
4. Amazon’s Alexa and its suite of NLP and language services.
5. Facebook’s M2M-100 and Blender models.
6. OpenAI’s future developments in the GPT series, such as GPT-4.

Conclusion: What does the future hold?

If you know what’s going on today, you are aware of the vast array of AI-based apps popping up. There are many competitors even today, but most still rely on GPT-3. Soon, GPT-4 will hit the market. And while GPT-3 was trained on 175 billion parameters, GPT-4 has been trained on 100 trillion parameters!

It is interesting to note that OpenAI’s CEO, Sam Altman, has subverted expectations for its upcoming GPT-4 model by saying those speculating about the size of GPT-4 were “begging to be disappointed”. He also added when asked about a potential 2023 1H release: “It’ll come out at some point, when we are confident we can do it safely and responsibly”.

Moreover, Semafor reports OpenAI ChatGPT mobile app is currently in “advanced preview mode” on OpenAI’s site. Moreover, Bing’s ChatGPT integration will be the new Bing. OpenAI’s GPT-4 powers the integration, a faster version of ChatGPT. OpenAI’s GPT-4 responds much faster, and the replies sound more human than the current version. A few people could already use it for a bit before it was quickly pulled off from Bing. If this is true, it could be huge for Bing.

I hope you enjoyed this post. I have had a blast exploring ChatGPT over the last month, and I am excited to share it with you. Let me know your thoughts about ChatGPT or its alternatives below. Which AI competitor fascinates you?

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Written by: Syed Umar Bukhari.