introduce
In recent years, the development of artificial intelligence-based natural language systems has achieved unprecedented progress. Among these systems, GPT-4 is the latest version of the OpenIA-powered conversational platform that has revolutionized the way we interact with technology and opened up endless possibilities for human communication.
GPT-4 has been trained on massive amounts of data and is designed to be more accurate, faster, and more flexible than ever before. Notable features include its ability to preserve conversational context, its ability to generate abstract and creative responses, and its flexibility to customize for different contexts and application domains.
In this article, we explore in detail the function of GPT-4 and its potential to revolutionize human communication. Additionally, we will discuss the differences between ChatGPT and GPT-4, its new features, and how to access it for free or through different pricing plans.
Differences from ChatGPT
According to the OpenAI documentation, ChatGPT has 12 layers and 175 billion parameters. According to **Wired**, the main difference between OpenAI's latest model and its evolution may lie in the parameters. GPT-4 may have been trained with 100 billion parameters, about 600 times more than its predecessor.
The difference between the two models is also reflected in the context window, which is the ability of the model to absorb words at a time. Furthermore, GPT-4 has a "multimodal" nature. Unlike its predecessor, GPT-4 has the ability to support images as input, although this feature is not currently available, at least not yet. They promise that we will be able to upload images to provide visual cues, although the results will always be presented to us in text format.
There are more differences between the two models in terms of the results obtained. It includes the results of various tests GPT-4 faced compared to GPT-3.5 (ChatGPT).
What's new in GPT-4
Compared to its predecessor, GPT-4 has many unique and enhanced features. These include:
Context retention
The GPT-4 model is able to preserve the context of the conversation and use that information to generate more accurate and coherent responses. In addition, it can handle over 25,000 words of text , supporting use cases such as extensive content creation, lengthy conversations, and document search and analysis.
Below is an example:
In this example, what GPT-4 was asked to do was describe why Rihanna's Super Bowl Wikipedia text (containing about 1600 characters) was special. The result is as follows:
generate creative and abstract responses
GPT-4 was able to generate more creative and abstract responses. It can generate, edit, and interact with users in technical and creative writing tasks, such as composing songs, writing scripts, or learning the user's writing style.
One example we can find in this creative space is asking GPT-4 to explain the Cinderella plot in sentences, where each word must begin with the next letter of the alphabet from A to Z, without repeating any letters.
As a result, we have a sentence in which each word begins with a consecutive letter of the alphabet, and moreover, we find meaning in it using a poetic tone.
image insertion
One of the biggest new features of GPT-4, and one that has attracted a lot of attention from users, is that GPT-4 can accept images as input and generate captions, ratings, and analysis. This opens up a world of possibilities, and although unfortunately, as mentioned above, it's not yet available, we can show you an example of this functionality provided by OpenIA. Here's an example: you ask GPT-4, "What can I do with these ingredients?", and attach an image that contains a certain ingredient.
As a result, we got a list of recipes that we could make using the ingredients provided in the image, and as far as we can tell, it was pretty successful.
If you want to see more examples of this amazing capability of GPT-4, you can click here and go to the Visual Input section. You'll find everything from graph analysis to questions about the meaning of certain memes.
Flexibility, capacity and quality
GPT-4 is designed to be highly customizable to suit different environments and application domains. This means that the platform can be customized according to the specific needs of users. Plus, it's optimized to process information faster and more efficiently, meaning faster responses during conversations. This is all possible thanks to the extensive dataset used in GPT-4 training, improving the quality and fluency of conversations generated by the platform.
other interesting facts
OpenAI spent six months improving the security and consistency of GPT-4. In its internal assessment, GPT-4 is now 82 percent less likely to respond to requests for disallowed content and 40 percent more likely to generate fact-based responses compared to GPT-3.5.
Debate over stopping AI rages on for 6 months
In technology, Tesla and SpaceX founder Elon Musk , Apple co-founder Steve Wozniak , historian Yuval Noah Harari and 14,000 others, including Leading researchers in the field of artificial intelligence, gathered to sign a letter calling for the development of artificial intelligence to stall for six months. The premise of the letter is that it prevents "profound risks to society and humanity" from being properly managed and controlled.
"Advanced artificial intelligence has the potential to have a profound impact on the history of life on Earth and must be planned and managed with due care and the necessary resources," the letter added. "Unfortunately, this level of planning and management It didn't happen, despite the fact that AI labs have been engaged in a frenzied race in recent months to develop and deploy ever more powerful digital minds that neither their own creators, nor anyone else, can reliably understand , prediction or control.”
He went on to note that "these protocols must ensure that the systems that employ them are beyond doubt safe. This does not mean halting the development of AI in general, but rather taking a step back in the dangerous race towards more advanced AI with emerging capabilities." Larger, more unpredictable black-box models."
Stronger governance systems are also needed , with new regulators tasked with overseeing and monitoring AI having a robust audit and certification ecosystem. One of the things they also demand is that suppliers be held accountable for damage caused by artificial intelligence.
Regulation of artificial intelligence (AI) is currently very diverse. In the United States , the Chamber of Commerce has called for more regulation to prevent artificial intelligence from hampering economic growth or posing a threat to national security.
In the case of the UK , the government has ruled out the creation of a new agency dedicated to AI governance. Instead, it urged existing regulators in various fields, such as the Equality and Human Rights Commission and the Competition and Markets Authority, to develop sector-specific approaches.
Meanwhile, the EU is making progress in drafting new AI laws and implementing stricter regulations on data quality, transparency, human oversight and accountability.
Statutes, government regulation, public opinion...all of this fuels a debate: Does it make sense to halt AI progress?
Millions of people, companies, and organizations around the world are using and collaborating with artificial intelligence (AI). A six-month moratorium on the use of AI internationally, as proposed in a recent open letter published by the Future of Life Institute, would be extremely difficult, if not impossible. The problems addressed and the actions proposed may not be the most realistic or feasible. I explained that it was very complicated to stop all studies, which could become complicated, and only accept studies that were safe. Also, the focus is mainly on the main language model without considering the others.
How to use GPT-4
To use it we have several options, but we will explain the two most widely used today. The first one will be on the ChatGPT website. If you want to see how it works, we have a video on our YouTube channel where we walk you through the previous version.
When we visit the ChatGPT website, we have to register. Once we reach our users, the only way to use this new version is to pay a monthly subscription fee of $20. To do this we must go to the bottom left corner and click on the **“Upgrade to Plus”** option. Once we click on it, the following informational alert appears.
Finally, we must choose the upgrade plan option and we will be able to subscribe as in any other network or service.
Once we have subscribed to the Plus plan, we will see a web page very similar to the previous one, but with some slight differences at the top.
What we will see is a model selector similar to the one in GPT-3, which we explained in a previous post. If we activate the dropdown menu, we will see the following:
We'll be able to see every possible language model we have, from the current GPT-3.5 legacy to the current model we're interested in. To use this new model, we just need to select **GPT-4,** everything we write on the web from now on will be against this new model. As we can see, we also describe each model and its ratings for three features.
Although GPT-4 is limited to ChatGPT Plus subscribers, there is a way to try it without paying or downloading anything. According to Microsoft, the latest version of the powerful bot is included in the company's web search engine, Bing.
To do this, just go to bing.com/chat in your browser and sign in with your Microsoft account, or you can go directly to Bing and click on the chat option above.
Once logged in, we will find ourselves in a chat where we can choose between three types of conversation.
The version of GPT-4 used by Bing has the disadvantage of being optimized for search. Therefore, it is more likely to display answers that contain links to pages found by the Bing search engine. Plus, it's only officially available in Microsoft's Edge browser, and the problematic limit has been increasing in recent weeks.
companies that use it
GPT-4 is a reality, and to prove it, multiple companies are already using it in their products.
One of them is Duolingo , which uses new features like role-playing and conversation partners to deepen conversations with customers.
Another company is the well-known payment gateway Stripe , which is now using GPT-4 to scan certain websites and provide better than human-written summaries, thus providing customers with more security.
Finally, and what caught my attention the most, is that the Icelandic government also uses it to allay their concerns about the disappearance of the native Icelandic language. To do this, they partnered with OpenIA to provide the correct translation from English to Icelandic via GPT-4.
If you want to explore more applications developed with GPT-4 and learn more about the above cases, you can go to the Building with GPT-4 section on their website.
in conclusion
In conclusion, the emergence of new language models in the field of artificial intelligence has caused obvious controversy in today's society. While these technological advances have brought enormous benefits in terms of efficiency and task automation, they have also raised widespread concerns about the potential of intelligent robots to replace human workers.
In a world where technological progress is steadily accelerating, concerns about job obsolescence are understandable. However, it is important to remember that AI is not a threat in itself, but a tool designed to complement and augment human capabilities.
Historically, technological advances have transformed societies and labor markets, but they have also created new opportunities and jobs. When machines take on routine and repetitive tasks, humans will be able to focus on activities that require creativity, critical thinking, and interpersonal skills, where machines remain limited.
As a society, we must grapple with the ethical and regulatory challenges that AI presents. We must ensure responsible use of technological advances that guarantee transparency, privacy and respect for human values.
Instead of worrying about the arrival of new technologies, we must be prepared and adapt to the changes they bring. Along the way, continuing education and training will be critical, allowing us to develop the skills we need to thrive in an increasingly AI-dominated society.
In conclusion, while it is understandable that the emergence of new language models in the field of artificial intelligence has raised concerns about job losses, it is important to take a balanced perspective. AI has the potential to improve our lives, freeing us from monotonous tasks, freeing us to focus on more meaningful activities and even increasing our productivity. By addressing and preparing for the ethical challenge, we can reap the benefits of this technology and create a future in which humans and machines live in harmony.