We’re possibly just weeks away from the debut of GPT-4. While OpenAI has been mum on the details of this much-anticipated release, it has been rumored that GPT-4 will contain 100 trillion parameters, which would make it the largest LLM in the world.

GPT-4 can solve difficult problems with greater accuracy, thanks to its broader general knowledge and problem solving abilities.

What is ChatGpt 4? Is it to take over?

➡️ GPT-1

In 2018 GPT-1 was introduced and was the first of Transformer-based language models which is a type of artificial intelligence (AI) that uses deep learning to produce written text. This had 512 tokens, 12 layers of transformer blocks, 117Million parameters and trained with 4.6gigabytes of data.

➡️ GPT-2

2019 – GPT-2 model was released by OpenAI, which was a much larger version of GPT-1. It had 1024 tokens, 48 layers, 1.5b parameters and trained with 46 gigabytes of data. This enabled the model to generate longer passages with more complex concepts that was more human-like and conversational.

➡️ GPT-3

In 2020, OpenAI released GPT-3 which was an even larger version of GPT-2 with a much wider range of applications. This had 2048 tokens, 96 layers, 175b parameters and 750gigabytes of data.

➡️ GPT-3.5

Jan 2022 saw the release of GPT-3.5 by OpenAI which is based on GPT-3, but works within guardrails, an early prototype of AI alignment with human values by forcing it to comply with policies.

➡️ ChatGPT

Nov 2022 ChatGPT was released by OpenAI which is based on GPT-3.5, but works within even stricter guardrails, an early prototype of AI alignment with human values by forcing it to comply with many many rules.

➡️ What is next?

Coming soon… GPT-4 to be released by OpenAI which is expected to be more powerful than GPT-3 with about 100 trillion parameters. GPT-4 has the potential to be a hundredfold more powerful than GPT-3.

ChatGPT 4: The GPTiest GPT Yet

OpenAI is currently testing ChatGPT4, which cognitive scientist Gary Marcus believes is just a glimpse of what’s to come with GPT-4.

Rumors about GPT-4 have been circulating for weeks, with two common themes: it’s expected to outperform GPT-3 and ChatGPT significantly, and it will be released relatively soon in the spring.

Also… OpenAI is collaborating with Microsoft on a joint grant program, and participants in the program likely already have access to GPT-4. Microsoft CTO Scott Stein recently predicted an even more significant year for AI in 2023.

So, If you’re a fan of language models and can’t get enough of generative AI, you’ll be delighted to know that the fourth iteration of OpenAI’s GPT (Generative Pre-trained Transformer) model is now available. Yes, you heard that right – ChatGPT 4 is here, and it’s the GPTiest GPT yet!

According to Marcus,: Several people have already tested GPT-4, and he guarantees that “minds will be blown.”

He expects GPT-4 to offer 100 trillion parameters and be trained with a significant fraction of the internet as a whole. However, Marcus believes that GPT-4’s architecture will not differ significantly from GPT-3 or ChatGPT, and the model will have similar weaknesses in its understanding of the world.

What’s New in ChatGPT 4? Predictions

1. It would not be much bigger

Contrary to the rumors circulating online about GPT4 having 100T parameters, GPT4 is likely to be around the same size as GPT3. This has already been confirmed by Sam Altman and is supported by research showing that language models are already underutilized and don’t need to go bigger to achieve better results.

2. It would not be multi-modal

GPT4 is still expected to be text-based, though it could potentially be the last text-only GPT version.

3. It would be smarter

One of the biggest improvements we can expect to see in GPT4 is its ability to better understand human language, which would reduce the need for prompt engineering effort.

4. It would be much more expensive

Sam Altman has confirmed that GPT4 will be more expensive, though he did mention that prices would drop quickly.

5. It would still hallucinate

GPT4 is still expected to make errors and invent things that don’t exist, as this is a fundamental part of its architecture. While there may be some improvements in this area, it’s unlikely that it will be completely fixed.

6. It would come later than anticipated

OpenAI did not anticipate the level of hype around GPT and is now working hard to improve GPT4 in several areas to ensure that the market isn’t disappointed. As a result, it’s likely that the release will be later than anticipated.

ChatGPT 4 is bigger and better than its predecessors, thanks to a whopping 100 trillion parameters, making it the largest and most powerful language model in existence. With that kind of computational firepower, ChatGPT 4 can generate text that’s even more natural-sounding and coherent than before. Whether you’re looking to write a novel, generate code, or just chat with an AI buddy, ChatGPT 4 has got you covered.

Model Size

Contrary to popular belief, GPT-4 won’t be a giant monster lurking in the shadows. According to Altman, it will have a similar parameter count to Gopher, Deepmind’s language model, with around 175B-280B parameters. Remember, size isn’t everything; just ask Megatron NLG, which was three times larger than GPT-3 but still couldn’t keep up in the performance department.

Optimal Parameterization

While GPT-3 might have been riddled with errors, it’s not entirely its fault. Large models are often under-optimized due to the astronomical costs of training. But fear not, OpenAI has found the solution with optimal hyperparameters. By using the best hyperparameters for smaller models, they were able to optimize large models at a fraction of the cost. Say goodbye to costly training and hello to better performance!

Text-Only Model

Don’t expect any fancy visuals from GPT-4; it’s going to be a text-only model. Combining textual and visual information is a challenging task, and OpenAI wants to focus on providing better performance than GPT-3 and DALL-E 2. Sorry, folks, no pretty pictures this time.

Sparse Models? Not so Fast While sparse models reduce computing costs, OpenAI has always relied on dense language models in the past. It’s doubtful that they will change their ways with GPT-4, so don’t hold your breath for sparse models.

ChatGPT-4 Release Date

The release date of GPT-4 is still shrouded in mystery. It’s possible we might not see it until next year or even next month. But we can rest assured that it will solve the problems of the older version and deliver even better results.

While there are several improvements that we can expect to see in GPT4, one area that I believe needs improvement is the ability to incorporate external knowledge into the model without increasing the cost of generation.

Although it’s currently possible to do this using embeddings and a retriever model, the cost of generation increases significantly.

How Does ChatGPT 4 Work?

Below are the steps:

Basically, they started by training an initial model using supervised fine-tuning. But that wasn’t enough for them. They wanted their AI to be more natural and engaging. So, they had human AI trainers play both the user and AI assistant in conversations to give feedback and improve the responses.

But how did they know if the responses were any good?

That’s where reinforcement learning comes in. OpenAI collected comparison data and had the AI trainers rank the quality of different responses. It was like a chatbot beauty pageant! They even used a reward system to help the machine learning model improve.

To fine-tune their reward system, they randomly selected model-written messages and sampled alternative completions. It was like a game of Mad Libs, but with chatbots! The AI trainers would then rank the quality of the responses, and OpenAI used Proximal Policy Optimization to improve the model.

Limitations of ChatGPT-4

1. Limited Contextual Understanding

While ChatGPT-4 can generate impressive responses, it still lacks the contextual understanding required to deliver accurate responses consistently. This limitation can result in responses that are not relevant to the intended meaning, making it unsuitable for certain applications that require contextual understanding.

2. Bias

Another limitation of ChatGPT-4 is its potential to generate biased content. The model is trained on a large corpus of text data, which can include biased or inaccurate information, leading to the generation of biased content. This issue can be addressed by using a diverse training dataset, but it can be challenging to ensure complete accuracy and impartiality.

3. Inability to Process Complex Queries

ChatGPT-4’s performance can be limited when it comes to processing complex queries. This limitation is due to the model’s architecture, which is designed to generate text rather than process complex queries. As a result, the model may struggle to provide responses to complex queries and may generate irrelevant or inaccurate information.

4. Lack of Real-World Knowledge

While ChatGPT-4 has been trained on a vast amount of text data, it still lacks real-world knowledge. This limitation can lead to inaccurate responses to real-world situations or tasks. To overcome this limitation, the model may require additional training on real-world datasets.

The Future of ChatGPT 4

As ChatGPT 4 continues to push the boundaries of what’s possible with generative AI, we can expect to see even more exciting developments in the field. From chatbots and virtual assistants to predictive analytics and personalized content, the potential applications of ChatGPT 4 are truly limitless.

And with the continued evolution of NLP, LSI, and TF-IDF techniques, we can look forward to a future where machines are better able to understand and communicate with us than ever before.

So, whether you’re a developer, a writer, or just a curious AI enthusiast, get ready for the GPTiest GPT yet – ChatGPT 4!

Conclusion – You Haven’t Seen Anything Yet

ChatGPT-4 is a powerful language model that has the potential to revolutionize the world of natural language processing and content creation.

Its ability to generate human-like responses and coherent text is impressive, and its applications are vast.

With the right tools and expertise, businesses and developers can harness the power of ChatGPT-4 to improve their operations and deliver better customer experiences.

By understanding the capabilities of ChatGPT-4 and keeping up with the latest developments in AI, you can stay ahead of the curve and take advantage of the opportunities that this powerful technology presents.

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