Hello ChatGPT? We’ve got your competition on the line and GPT-4 is promising bigger and better things!

On the 14th of March 2023, Open AI announced the launch of their new generative AI and they’re calling it GPT-4. It promised to be faster, greater and more accurate than its predecessor, ChatGPT. And this is happening right after they’ve announced that ChatGPT is going premium.
So, what is GPT-4? Here is everything you need to know:

  1. What is GPT-4?
    GPT-4 – which stands for Generative Pre-trained Transformer – is a collaboration between ChatGPT, OpenAI, and Bing, and it promises to rock our world! It is a class of language models that leverage deep learning techniques to produce natural-sounding, conversational text that resembles human-generated content. It’s the next generation of AI that’s going to make our lives easier, more efficient, and more productive. At its core, GPT-4 is a language processing AI, which means it can understand and respond to natural language. This is a huge leap forward from traditional computer programs that require specific commands to perform tasks. With GPT-4, you can converse with your computer just as you would with a friend, very similar to ChatGPT.

  2. What can GPT-4 do?
    GPT-4 is a large multimodal language model with a heavy emphasis on that multimodality part. This means that it can accept both textual and visual – yes VISUAL – inputs and produce text that is remarkably similar to human-generated content. For example, GPT-4 can analyze a worksheet that is uploaded and generate answers to the questions. It can also interpret a graph that is uploaded and perform calculations based on the presented data. You can even take a picture of your fridge and GPT-4 will assess what ingredients you have and recommend recipes that include those ingredients. Let me tell you something, we never need to uhm and ah about what to eat anymore!

  3. How does it work?
    Well, GPT-4 uses a machine learning technique called deep learning, which involves training a neural network to recognize patterns in data. In the case of GPT-4, the neural network is trained on vast amounts of text data, including books, articles, and websites, to learn how language works and how people use it. So, in this way, it is still very similar to ChatGPT because of how the models are trained.

  4. How is it different for ChatGPT?
    Some of the major things that sets GPT-4 apart from previous AI models is its ability to anticipate your needs and make suggestions before you even ask. This is because GPT-4 is designed to learn from its interactions with users, improving its responses and making them more personalized over time. Once the neural network is trained, GPT-4 can use this knowledge to understand and respond to new language inputs. But what makes GPT-4 so powerful is its ability to generate language, not just understand it. This means that GPT-4 can produce text that sounds natural and human-like, opening up a whole range of new possibilities for AI applications. Cool but a little freaky, isn’t it?


Final Thoughts

Despite these challenges, the potential applications of GPT-4 are enormous. It could be used for everything from customer service chatbots to language translation to creative writing. And as GPT-4 continues to learn and improve, it’s likely that we’ll see even more innovative applications in the future.

Of course, there are still challenges to be overcome. One of the biggest is ensuring that GPT-4 doesn’t perpetuate biases or harmful language. To address this, OpenAI has implemented measures to detect and mitigate these issues, such as using diverse training data and monitoring GPT-4’s output for problematic language. Although there are some incredibly impressive capabilities, some experts warn that the success of models like ChatGPT could lead to a dangerous trend of secrecy in the field of AI. One AI pioneer suggests that people may become hesitant to share their research and findings due to concerns of intellectual property and competition.

So there you have it – a closer look at GPT-4 and the incredible advancements in language processing AI. It’s an exciting time for tech, and we can’t wait to see where this technology will take us next.