What was science fiction for one generation became a scientific fact for another. However, that's not the case anymore. Now the speed of technological evolution has increased. As a result, our generation has witnessed ideas propagated in science fiction and then turning into reality in no time.
When it comes to turning fiction into reality, AI is certainly among the technology that can take us by surprise. And in 2018, it did, with the launch of GPT.
Now with the news of GPT-4, people are excited and have already started a GPT-4 vs. GPT-3 debate. We understand that, but we suggest you hold your horses for now. Once you have read this blog till the end, you will have an idea of what to expect from GPT-4…..
GPT took the world by storm when it was first released. The speed at which it gained popularity among the general public was astounding. Yes, it produced results based on the user's queries, but it wasn't just a regular search engine. GPT's capabilities included writing blogs, film scripts, and more.
With a Generative Pre-trained Transformer (GPT), you can automate those specific tasks that require a thorough understanding of language and technical sophistication. GPT utilizes transformer architecture.
A transformer knows what parts to focus on in the input (an ability called self-attention). Based on this learning, it adds significance to certain parts of the input. The transformer mechanism allows GPT to process text in a humanlike way and, as a result, produce text-based results that are much more personalized.
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History of NLP models
The idea of machines being able to process language has existed for a long time – The field of NLP started in the 1940s. However, during the 1980s-1990s, serious efforts were made, and statistical models were developed to handle natural language processing.
The efforts in terms of research that led to modern NLP with deep learning at its heart started in 2010, and a breakthrough was made when recurrent neural networks (RNNs) were developed – they could read sentences. Though this was a major accomplishment, RNNs still lacked in many areas.
The next big thing was autocorrelated neural networks built on the transformer architecture – the models developed with this approach were significantly more capable and had larger neural networks.
GPT was a significant step in the evolution of language (natural) processing. Before GPT, NLPs had limited capabilities – they could translate and classify tasks but could not perform advanced functions such as task generalization – because those models used supervised learning.
Moreover, GPT had superior capabilities to handle problems that detailed comprehension (reading) and reasoning (common-sense).
GPT-3 is the latest operational version of GPT. A predicted launch of GPT-4 and some recent proceedings at OpenAI have sparked quite a few GPT-4 rumors. What is GPT-4? You might ask. It's an upgrade over GPT-3- that's all you need to know right now. We will get into the details once we've put things into perspective.
GPT's ML capabilities
GPT is a deep learning-based AI that uses a sophisticated and advanced neural network.
With the usage of data available on the internet, the neural network is trained to generate text-based responses to queries. GPT's neural network was unlike any other language processing model – it had more than 117 million parameters – significantly larger than the most advanced neural network before GPT.
What is GPT-4?
An upgrade over GPT-3 for sure. But how exactly? Read till the end to find out…
Stuff you need to know - GPT-4 rumors, predictions, and more…
People are excited about GPT-4; naturally, a few rumors are floating around before the launch. One of the rumors is regarding the GPT-4 release date. However, we suggest you do not fall for the rumors. Especially when the launch of GPT-4 is so potentially near.
Read More: ChatGPT vs GPT-3: Key Differences Explained
Predictions regarding GPT-4
What is GPT-4 going to be like exactly? This section gives a detailed overview of that. If you are keen on drawing GPT-4 vs. GPT-3 comparisons, this section is for you…
With GPT-4, OpenAI isn't aiming to go with something enormous in terms of model size. Instead, with MT-NLG and PaLM leading the race with the largest neural networks, OpenAI has opted to keep GPT-4 within the range of 175B-280B parameters.
Now, companies are starting to realize that a bigger neural network isn't the only way to guarantee better performance. At the time of its launch, GPT featured the biggest neural network, but now it's behind in the race, and OpenAI is not trying to catch up with the top charters.
AI alignment means that the program understands humans' intentions and can stick to our values.
Alignment is a tough challenge; however, OpenAI made a step in that direction with InstructGPT, and the results were encouraging. It is predicted that with GPT-4, OpenAI will build upon the base they laid out for InstructGPT.
The human brain functions with sparse processing, and AI is headed in the same direction as it is meant to replicate the mechanisms of the human brain in terms of processing inputs. However, with GPT-4, OpenAI will go with a dense model rather than aiming for sparsity.
Multimodal AI models process both visual and text-based input. However, GPT was created as a text-only model, and according to the sources at OpenAI, GPT-4 won't be multimodal either.
OpenAI already has a multimodal AI called DALL-E. But with GPT-4, they are going to keep it text-only.
Recent AI developments indicate that increasing model size (i.e., including more parameters) is not the only way to increase the performance of deep learning models.
It can also be done by increasing the training data – utilizing more training tokens to train the model. And apparently, that's what OpenAI is aiming to do with GPT-4. They aren't going to increase the model size by a lot (although it would be larger than GPT-3). OpenAI's aim for GPT-4 seems like they want to utilize more computing than GPT-3 did.
Read More: Trending Ideas and Use Cases for OpenAI GPT-3
GPT-4 vs. GPT-3
We stated earlier that GPT-4 is not going to have a huge neural network. But it's still going to be better and bigger than GPT-3. So if the rumors regarding its capabilities are correct, you could be in for some surprise and amazement with GPT-4.
GPT-4 is sure to be a notch above GPT-3 in terms of utilizing optimal computing. You could also expect it to be more aligned with human values than GPT-3 (although we would suggest not setting your expectations too high because of the nature of the challenge alignment presents).
GPT-4 release date
According to the sources, GPT-4 will be released soon. Earlier this year, the rumor was that the GPT-4 would be released in December 2022 or January 2023. And now that we are almost mid-way through January, you can guess how close we are to the launch.
What could the launch of GPT-4 mean?
For the future of AI
There is a lot of excitement regarding GPT -4, and for sure, it is going to be a significant step in the evolution of AI's language processing capabilities.
Though GPT-4 is predictably supposed to be impressive, it misses out on a few things that hold the key to making AI function like the human brain. For example, factors like multimodality and sparsity will not be integrated into GPT-4. Hence, you could say that it is going to be an advancement in the field of AI, but not in a holistic way. With GPT-4, the parent company aims to take NLP to a new level – while deliberately missing out on a few factors.
GPT-4 promises businesses greater possibilities – especially regarding content generation. Some claim that the text generated by GPT-4 might be indistinguishable from content produced by expert human writers
What this means for businesses is they could use the power of AI to produce marketing content. Not to mention GPT-4's exceptional language processing capabilities,
For some reason, if businesses hadn't taken GPT seriously till now, they would have to consider it a real phenomenon after the launch of GPT-4. This is because its exceptional language processing capabilities can help businesses in certain areas.
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If you have used previous versions of GPT, you could expect better search results with GPT-4. In addition, it will surely offer you a better value in terms of helping you professionally – by promising more robust research. You could also expect a more streamlined data analysis process. Moreover, you can also expect GPT-4 to offer more personalized results.
If you have read this far, the what is GPT-4 question in your mind must be answered. Nothing more is left to unravel besides what we have covered in this comprehensive guide that should leave no other queries.
AI is one of the fields of technology that has drastically closed the gap between science fiction and reality, and OpenAI is keen to proceed toward improving the field of AI. Its previous endeavors have been impressive, and the launch of GPT-4 could surely make some jaws drop. All the tech enthusiasts are waiting impatiently for the official GPT-4 release date to be announced…
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