Introducing ChatGPT 4: The Next Generation of Language Processing

Introducing ChatGPT 4

We’ll be talking about the road to building the incredible chatGPT. We’ll be starting from the very beginning, so stick around.

If you want to know more about your favorite chat bot, we’ll also talk about chatGPT successor at GPT 4 and it’s coming soon, sooner than you think.

If you think chatgpt is amazing, then GPT 4 will be extra, extra, extra amazing. Let’s dive in right away.

Chat GPT Most of you probably know what it is by now. It’s AI that writes blogs, film scripts, and provides YouTube video suggestions at can code write game stories and come up with interesting ideas For interior design, this is just a beginning of something much larger.

It has been all the rage in recent weeks. Everyone is talking about it and of course, hundreds if not thousands of YouTubers have covered it.

This Article is however a bit different before we can talk about GPT 4. Let’s talk about genesis of this story. Introducing ChatGPT 4

GPT or a generative pre-trained transformer was released in 2018 by researchers at OpenAI. At that time, it was superior to other existing language models for problems like common sense reasoning and reading comprehension.

It helped the model understand sentences much better and reasoned through ideas. For example, the AI had to understand when you misplace your phone, the most likely outcome is that you will go searching for it.

Only eight months after OpenAI released a larger version of GPT, GPT 2, it was a bigger version and trained on more than 10 times the data,This one was special.

It could generate text that seen more natural. This was when people begun to truly understand the power of the GPT series.

GPT 2 could simply adapt to any command given to it without the need for specific training. Open AI called this behavior chameleon-like the model was too powerful at that time and the AI community wanted to get their hands on it open AI decided to first release a much smaller and less powerful version of the model.

Instead, this was part of the release plan that matched their charter. The Open AI charter describes the company’s principles for making sure AI is aligned with human goals. There has been much talk about AGI coming soon and open AI claims to be working on it. Introducing ChatGPT 4

AGI is a theory that AI will one day reach human level abilities and possibly surpass us at some point. Open AI is concerned that if we don’t closely monitor AI and eventually agi, then things could spiral out of control very rapidly.

Given the facts that we see in front of us right now, uh, that it becomes really hard to confidently rule out general intelligence happening in the near term and you know, I think AGI is, is this thing that everyone has a bit of a different picture of what it is.

Again, it’s this very intuitive thing for many of us. You know, we all are intelligent beings. We feel that we have some, you know, understanding of what intelligence is, but to really define it as another thing.

you know that the definition we use at OpenAI is highly autonomous systems that outperform humans at most economically Valuable work.

one of which includes an iRobot scenario ending. Not to scare you, obviously OpenAI gradually released the model so they could track how people used it.

They were mostly concerned about malicious users like impersonating and spreading fake news. Around this time, the company begun to restructure as a for-profit company and limiting full access to its biggest model.

In June of 2020, the company announced the most anticipated language model for that year, GPT 3, it was everything they had promised, bigger, smarter, and more interactive. Introducing ChatGPT 4

GPT three had 175 billion parameters Yes, you heard right & for context GPT had 117 million parameters while GPT two had 1.5 billion.

Parameters are just features a language model looks at to understand all the different components of language there are how words relate to each other.

The more features you have, the more you learn about a system. Although this could be a double-edged sword in AI, too many features will start to negatively affect the model.

You need just the right amount to not go overboard. OpenAI was worried about wrongful use of GPT three and for a while kept its access private. Eventually they released it through an API interface.

You could interact with the company, however did not release the source code to the public. The source code tells you how a program was coded and the intention behind its design.

You can only interact with GPT 3 by sending text to the API, but you wouldn’t really know the inner workings of it. Introducing ChatGPT 4

The company signed an exclusive deal with Microsoft that gave the giant tech company full access to GPT 3. January 27th, 2022 open AI releases a blog on its latest improvements to the GPT series called instruct GPT.

You see, although GPT three could generate text that was almost indistinguishable from human writing, there was one problem. It couldn’t effectively follow instructions, which is a big part of a chatbot’s function.

For example, when you tell GPT 3 to explain something to you, it will return correct sentences but not exactly what you want. Instruct GPT improved on this, This was a very important update.

The GPT series was now useful and practical in many use cases. Instruct GPT was also better at being more truthful and generally less toxic.

Open AI achieved this feat by adding human feedback to the process of training the AI model. This way, the model understood what humans expected when a piece of text was typed open AI went from trying to generate sensible texts in early GPT models to excelling at that and shifting focus to making it more useful to us.

It’s now November 30th and open AI has yet again shock the world with its latest model. chat Gpt is a sibling to instruct GPT but with a slight twist.

It was strange specifically to learn how human dialogue works. It interacts in a conversational way making it possible for the model to answer follow-up questions, admitted mistakes, challenge incorrect premises and reject inappropriate request.

Here’s an example of a chat GPT response compared to instruct GPT, You can see the chat GPT example is more natural and something a human might say.

For those of you who’ve used chat GPT, you’ve probably noticed it sometimes decides not to answer certain questions and occasionally it may even ask for clarification to solve your problem. Introducing ChatGPT 4

This is a vast improvement to what previous GPT models could do. I hope you can now appreciate ChaT GPT more. After understanding how GPT first started open AI is still concerned about malicious use of the model and has placed some restrictions on it.

People found back doors to trick the model to get it to answer questions. It refused before, mostly by telling the model to play a role rather than its actual chat bot role.

For example, you can trick the model to suggest ways of creating destructive weapons or the steps to bully someone.

Others have pushed back against open AI’s restrictions pointing out that they are excessively censoring information. They say that the content that open AI blocks, it’s already publicly available on the internet, so there is no need for extra controls.

Both instruct GPT and chat GPT were updated internally to GPT 3.5 and midway point to their most anticipated GPT 4.

GPT 3.5 has more data than GPT 3 does throughout this GPT journey. There are a few things you start to notice so far increasing the amount of data seems to make the models more powerful.

The models train continuously for months. It’s like sitting in a classroom and absorbing almost all of the internet continuously. No food, no bathroom breaks and no sleep. Introducing ChatGPT 4

No wonder the model gets smarter and smarter over time. You can see why everyone is excited about GPT 4 coming soon. There has been much speculation on what to expect from GPT 4 and I’ll cover it in a second. We’ll see if the indeed stand the test of time.

There has been rumor that the model will have a whopping 100 trillion parameters, a huge climb from GPT 3. The CEO Sam Altman, however, denied this when asked about it.

This shift in emphasis from parameter size could be attributed to deep minds paper on scaling laws. The paper discovered that having an adequate parameter size but much more data gives similarly impressive results at lower cost.

So having excessive parameter sizes is not always the best option. GPT 4 may not have a hundred trillion parameters, but it surely will have more than GPT 3.

If GPT 4 is to GPT 3, what GPT three was to GPT two then fastened your seat belts. Because we’re in for a ride open AI-issued NDAs to anyone who’s had some exposure to GPT four causing even more speculation. Some of the rumors may be false. Introducing ChatGPT 4

However, what we are certain of is that this model will be mind blowing, jaw dropping, and simply fascinating. Open AI seem to have purposefully limited internet access for chat GPT as some have figured out through gel breaking the system.

If the chat version of GPT 4 has internet access, this will vastly enhance the model and make it more helpful.

Currently chat GPT can give answers for any news past 2021. GPT 4 will be more factual and possibly give even longer text outputs than Chat gpt, so you can write even longer articles.

Brace yourselves for GPT 4, which will likely take the world by storm in the same way that ChaT Gpt did or perhaps even more many people have started predicting that ChaT GPT or future versions of it may end up The throwing Google as the number one search interface.

Major news outlets have even revealed that Google has issued a code red for the thread that chat GPT poses to the company. The thing about chat GpT is that it can confidently give you the wrong answer in a way that makes it believable.

To confirm chatbot results, you will almost always need to conduct your own research, maybe looking at more content on Google unless you’re using chat gpt for actions that don’t require factual outputs.

Google search is more trustworthy because you can directly retrieve information from a source and verify the authenticity by examining the source of information.

This doesn’t fully guarantee that it’s factual, but it’s much better than what Chat gpt can do. see this example where I ask Chat gpt about the fastest mammal and it says the selfish is the fastest. Introducing ChatGPT 4

I probe it some more and it begins to reason out the steps correctly. However, a second run also provides a different answer. This is why you cannot entirely depend on it yet, especially for factual information.

The allure of chat GPT however, is that it’s very useful in providing answers as quickly as possible without having to explore search results. Like in the case of Google, the trade-off seems to be speed versus trust.

The company that succeeds in both will dominate search chat GPT can be used to accelerate work, but I don’t think it can be fully dependent on for some important ones.

People have begun to suggest ways to make money with the chat bot with some even claiming it can predict Bitcoin prize movements work like article writing and low level coding is possible, but you’ll still have to to keep tabs on the results.

As for price predictions, I’ll suggest that you avoid investing your life savings based on chat GPT. It will not end well. Who knows? Maybe GPT 4 will have this capability or maybe we’ll have to wait till GpT 15. Only time will tell.

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