The advent of ChatGPT 4 has caused a lot of buzz in the world precisely in the world of Chatbots. Many AI enthusiasts and even common internet users alike are wondering how the rapid transformation of the AI industry and the rise of ChatGPT4 will change the world.
As a digital marketing expert, I have seen firsthand the impact of technology and AI tools in transforming the industry. The most exclusive and spellbinding of these technologies that has been prevalent in recent few years is the GPT (Generative Pre-trained Transformer) language model.
Ever since the announcement of OpenAI to release their GPT 4 multi-model language processing model, almost everyone has been prompted to wonder how it compares to its predecessor, ChatGPT 3. To ease the concerns of our readers and provide a clear stance about the capabilities and parameters of Open AI’s GPT models (3 & 4), I have come up with this exclusive post.
In this post, I will dig deep into the Model Architecture and Technical Specifications of ChatGPT 3 and ChatGPT 4 to help you understand how these models could be used in daily life to cut down on your work routine and make the best out of these AI assistants.
I will also compare ChatGPT 3 and ChatGPT 4 in terms of their Performance, Accuracy, Training Data, and Learning Processes. I will also provide some insight into the real-life applications of these wonder bots to help you get started with these miraculous technologies.
Let’s first take a closer look at both Chatbots and see what sets them apart.
Chatbots And GPT Models:
Chatbots have spread widely over the years and almost every one of the readers here must be familiar with the Chatbot as you would have come across one or two when visiting various websites, particularly the one handling online customer support and feedback sections of the businesses on the web. The only reason for this widespread usage of Chatbots is their efficiency in handling queries and directing assistance.
Chatbots can handle customer queries about a product or service and provide meaningful feedback to users who can ask various questions to these Chatbots and get their queries resolved. The best thing about these Chatbots is that you can get your job done without any kind of human assistance and still cater to millions of queries every day without slacking.
To make the most of these AI-powered Chatbots and get ahead of normal customer feedback, large language models have come to the aid of humanity. These large language models use Natural Language Processors to generate human-like content that can do wonders under appropriate commands. One such amazing large language model is the Generative Pre-trained Transformer which is none other than the GPT that has created a buzz around the globe in 2023.
Section 1: Introducing OpenAI’s ChatGPT Series
The two versions of this infamous GPT model that are revolutionizing the world are precisely GPT3 and GPT4. Using the underlying GPT3 and GPT4 technologies, let us dig into the ChatGPT models and see what sets them apart from each other.
Let’s get started with ChatGPT 3!
ChatGPT 3 And Its Features:
ChatGPT 3 is a language model based on neural networks that was recently launched by OpenAI and developed to be a large language processing model capable of generating human-like text with the help of user inputs. Open AI’s ChatGPT 3 model has access to a vast database of training data and relying on this ocean of information ChatGPT can comprehend the context of phrases and produce responses that are coherent and insightful.
The amount of this database measured in parameters is around 175 billion, yes you read ChatGPT 3 has a neural network relying on about 175 billion parameters which is the most powerful language model created to date.
This capacity of 175 billion parameters makes it versatile and fit for multifunctioning. It can take on various applications such as content creation, code writing, text generation, writing essays, and even research articles. You can make use of ChatGPT3 for translation purposes or you may use it as a simple Chatbot providing customer services.
ChatGPT 3 can perform the following key language processing tasks:
- Language Translation
- Text summarization
- Word prediction
- Content creation
- Developing models
Developing applications based on AI-generated codes
Among the most notable features of ChatGPT 3, internet users are most thrilled by its advanced natural language processing capabilities that enable it for language generation, based on the syntax of the user prompts and available data regarding that prompt.
The efficiency and accuracy of syntactic understanding of ChatGPT 3 are the highest among all-natural language processing models released before it and therefore, using its neural network of 175 billion parameters it can understand the context of user prompts better than previous models and thus it will generate outputs that are more accurate and relevant to the user preferences and interests.
ChatGPT has an Open AI API that allows businesses to use that API for developing their models and creating applications that can automate their whole work process. There are boundless possibilities to use ChatGPT for businesses but what’s most interesting about this natural language processing model is that it is not restricted to use by large enterprises or developers only.
Common internet users can make the most of this language model for their daily routine tasks which may include using automated Chatbots for better and more efficient customer services, creating innovative and engaging content, and relying on it for influencer marketing. To put it in simpler words, you can use the ChatGPT 3 to create personalized and engaging content that will not only help your businesses but will also cut your working time by more than half.
Limitations Of Chatgpt 3:
Despite the potential benefits of using ChatGPT 3, there are some limitations to consider when using the ChatGPT 3 model in its entirety. One of the primary limitations is the bias in the model’s training data. The model might generate responses that align with the biases present in the data it was trained on and thus skewed results will be produced.
Another challenge of using ChatGPT 3 is how challenging it can be to fine-tune it for specific use cases. For instance, let’s say that you want to automate your digital marketing strategy by using the ChatGPT 3 model, it will be challenging to do by incorporating the language processing model in digital marketing campaigns as the model lacks clear structure now, making it difficult to integrate it into existing marketing strategies seamlessly.
ChatGPT 4 And Its Features:
ChatGPT 4 is the more advanced version of the ChatGPT series that was recently launched by OpenAI and is still in the developing phase. There is currently no clear timeline for its release to common users and it is currently only available to premium users who are honing the AI capabilities to take their businesses to the next level.
It is even more powerful than ChatGPT-3 and boasts several improvements over its predecessor, ChatGPT 3 including better accuracy and more efficient computation resulting from increased parameters than the predecessor model.
The most significant difference between ChatGPT-4 and ChatGPT-3 which is being focused on by most AI enthusiasts is the number of parameters. OpenAI has released ChatGPT 4 with four times the parameters of its predecessor. Other than parameters, there is also an increase in the word processing power and ChatGPT 4 can process 8 times more words than ChatGPT 3.
As per its release, the ChatGPT 4 can process 25,000 words at once and thus it is the most powerful and extensive language processing model ever created by any developer. The increased word processing power allows it to take on larger documents and thus it will become increasingly more efficient to work with large documents.
Additionally, ChatGPT-4 is coming with improved strengths that give it better powers than its predecessors such as an even better text generation capability compared to ChatGPT 3 and the generation of more accurate and relevant responses to users’ prompts due to extensive parameters and increased computation abilities. ChatGPT 4 has improved language translation and more advanced summarization abilities along with its enhanced context understanding ability as a successor of the world-acclaimed ChatGPT 3.
The Success Of Chatgpt 4 In Overcoming Limitations Of Chatgpt 3:
ChatGPT 4 was launched after testing on an extensive database and has an increased data training model that takes into account the biases and architectural shortcomings of the predecessor. ChatGPT 4 has a better understanding of context and has been trained on a lot of malicious prompts for sorting out disallowed content generation.
Chatgpt 4 Cannot Be Fooled By Malicious User Prompts:
ChatGPT 3 can easily be fooled by users leading to the creation of misleading or inaccurate information that is currently presumed to be its lethal flaw. ChatGPT4, however, is better suited to produce outputs with factual information and is released with better reasoning capabilities that give it the rumored artificial intelligence capable of taking over the human mind.
Chatgpt 4 Can Understand Visual Prompts/ Data:
The best thing that ChatGPT 4 as the GPT plus users will gain is the ability to understand images. ChatGPT 4 is the multimodal language processing model which refers to its ability to process different modes of information including words and images.
The image recognition abilities are relatively new in the industry and common users may use it for asking the ChatGPT 4 to describe what’s going on in the image. However, the reason behind the creation of this multimodal language processing model is to help visually impaired users with voice commands.
Users can ask ChatGPT 4 to describe the pattern on a piece of clothing given on the image or they may use it for reading out a map. Users can also submit an image displaying the gym equipment and ask for help with related information on its use and safety instructions.
Chatgpt4 Will Not Respond To Disallowed Content:
Open AI language training data for ChatGPT 4 was said to include many malicious and sensitive requests to make the language model understand malicious prompts that are not allowed to be displayed on the web. For instance, you can ask the Chatbot “how to make a bomb” and it will respond by saying:
“I’m sorry, I cannot provide information on how to make a bomb or any other harmful device. It is illegal and unethical, and promoting such activities can lead to serious legal consequences. As an AI language model, my purpose is to assist and provide helpful information while following ethical guidelines and community guidelines.”
This makes ChatGPT 4 safer to use and is said to produce outcomes with an 82% likelihood of disallowing response to malicious prompts. It is also said to have a likelihood of generating 40% more factual responses while ChatGPT3 is more inclined towards innovation and less factual data.
Section 2: Comparative Analysis Of ChatGPT 3 Versus ChatGPT 4
Now that you are aware of the improvements of ChatGPT 4 over its predecessor, let us now begin with a comparative analysis of ChatGPT 3 versus ChatGPT 4, to analyze various aspects of both models for determining which model has better architecture, technical specifications, training data, learning process, and ultimately the performance.
Model Architecture And Technical Specifications:
ChatGPT 3 and 4 have innately the same structural model but they are different in terms of their architectures and technical specifications. ChatGPT 3 utilizes a massive transformer model having 175 billion parameters, while its successor is released with over 300 billion parameters making it more robust and powerful. ChatGPT 4 can, thus, provide more accurate answers in comparison to ChatGPT 3.
Overall, ChatGPT 4 comes with architectural improvements that enable it to produce better results than ChatGPT 3 and that is not the only edge ChatGPT 4 has over ChatGPT 3. The successor is known to have improved on the autoregressive architecture that was the foundation of ChatGPT 3, by replacing it with a rectified attention mechanism. This rectified attention mechanism ensures that the model processes attention interactions more efficiently and accurately than ChatGPT 3.
Training Data And Learning Process:
ChatGPT 4 has an edge over ChatGPT 3 in terms of training data and learning process and thanks to that, ChatGPT 4 has an extensive amount of data consisting of websites and books, increasing its ability to handle queries with different levels of complexity.
ChatGPT 4 also has a more refined and improved learning process, that can leverage various techniques such as contrastive learning to improve its ability to learn and achieve better results. ChatGPT 3, on the other hand, used a relatively smaller amount of training data that is prone to biases and overfitting due to its fine-tuning process.
Performance And Accuracy
As we have stated earlier ChatGPT 4 outperforms its predecessor with its enhanced technical specifications and better training data and this leads to the successor having a higher accuracy rate than ChatGPT 3.
After putting both language processing models through several tests, it is established that ChatGPT 4 has consistently performed better than its preceding version. For instance, ChatGPT 4 obtained 89.4% accuracy in the LAMBADA language modeling challenge while ChatGPT 3 only managed 67.8% accuracy.
For General Language Understanding Evaluation (GLUE), ChatGPT 4 has come at the top of all language processing models with evident improvements over ChatGPT. In conclusion, ChatGPT 4 performs better than ChatGPT 3 in terms of relevance and accuracy.
Real-World Applications:
When it comes to real-world applications, ChatGPT 4 has a dominant advantage over other language processing models but the restrictions for premium users make it hard to explore and leverage. In general, ChatGPT 4 can be used in various industries including customer service, financial services, and healthcare.
It has been tested to handle a wide range of customer queries and is a reliable Chatbot that is meant for use by companies that are looking forward to handling their customer support section without human assistance. With the help of ChatGPT 4’s extensive knowledge base, customers can receive helpful recommendations and inquiries can be routed to the appropriate department.
In the Financial industry, companies can use ChatGPT 4 to analyze large data without putting tons of human hours in use and generate insightful visuals that grab quick attention and can help in investment decisions.
For the healthcare sector, ChatGPT 4 can be viewed as a potential assistant in medical diagnosis as it can analyze patients’ data and then provide insights that physicians can use in their diagnosis.
Language Processing Capabilities
ChatGPT 3 was the most efficient and extensive language processing model ever created at its release date but OpenAI LP, has shown no indication of slowing down by coming up with an even better model after just a month than their previous model. ChatGPT has already received quite the buzz across the globe with its indistinguishable human-like generated responses and it has set the bar quite high for upcoming NLP (Natural Language Processing) models.
To set the gap between OpenAI language models and other developers’ models, ChatGPT 4 is launched with skyrocketed abilities to make it supreme in the AI world. ChatGPT 4 has taken things the furthest ever imagined for AI Chatbots by increasing the model’s capacity to process and understand language for producing human-like responses.
Both the models use the same NLP model and there isn’t any wide gap in their processing power but the difference in generated outcomes is noticeable hinting at better efficiency of the successor in producing factual and relevant responses.
Speed:
The difference that OpenAI started to market for promoting their latest version is none other than Speed and the layman users were enticed by the fast responses produced by ChatGPT 4 which are within fractions of the time taken by ChatGPT 3.
ChatGPT 4 uses Tensor Processing Unit (TPU) architecture which is known to have faster processing power with the ability to generate responses with more efficiency and accuracy than the earlier processing units thus giving ChatGPT 4 an edge over other language processing models in terms of speed of response generation.
Price:
As you would have noticed in all the factors I have mentioned above, ChatGPT 4 has outperformed ChatGPT 3 and subsequently all other language processing models. But the only facet where ChatGPT 3 will take an edge over its successor is the pricing. ChatGPT 3 was launched as free software to be used on all devices and all regions without any specific guidelines for features.
Almost all basic users can make use of the miraculous capabilities that I have mentioned in this blog post. There is, however, a ChatGPT 3 Plus version where premium features are included for paying customer base who can take the AI experience to new levels with minimal charges. ChatGPT 4 was launched on 14th March 2023 and is given restricted access to only ChatGPT 3 Plus users which means it is not available for free use and only premium customers can make use of it.
The price to be paid in exchange for the miraculous capabilities of ChatGPT is not a query to ponder. You will get a smart and reliable assistant at your beck and call but the ultimate decision should be based on your required applications and particularly your budget.
In a nutshell, ChatGPT 4 is undoubtedly an improved language processing model over its predecessor, ChatGPT 3. However, it’s important to keep in mind that both models are incredibly powerful and accurate when it comes to their capabilities of processing and understanding language.
That being said, if you’re looking for a faster and more accurate Chatbot, ChatGPT 4 may be the way to go, in my opinion. In contrast, if you’re working within a tighter budget, I believe, ChatGPT 3 may still be an excellent choice. Ultimately, it all depends on your particular needs and use case.
My Final Verdict:
It is clear from the architecture, technical specifications, training data, learning process, performance, and real-world applications of ChatGPT 3 and ChatGPT 4 that the succeeding model outperforms all departments.
The latter model’s technical specifications and extensive training data make it more reliable and accurate than ChatGPT 3 and is an ideal candidate for organizations that require a seamless Chatbot solution. For single users, however, ChatGPT 3 is a suitable approach as it is capable of meeting user requests and generating responses with insightful and meaningful information.