ChatGPT and GPT-4 are two artificial intelligence (AI) chatbots developed by OpenAI, a research organization founded in 2015 with the goal of promoting and developing friendly AI that benefits humanity. The chatbots are based on the Generative Pre-trained Transformer (GPT) architecture, which is one of the largest and most advanced language models to date.
But what are the differences and similarities between ChatGPT and GPT-4? How do they work and what can they do? In this article, we will explore these questions and more.
What is ChatGPT?
ChatGPT stands for “Chat Generative Pre-trained Transformer”. Let’s take a look at each of those words in turn.
The ‘chat’ naturally refers to the chatbot front-end that OpenAI has built for its GPT language model. A chatbot is a software application that can interact with users using natural language, either through text or voice. Chatbots can be used for various purposes, such as customer service, entertainment, education, or information.
The ‘generative’ means that the chatbot can generate text responses based on a given input or prompt. Unlike some other chatbots that rely on predefined rules or scripts, generative chatbots can create novel and diverse responses that are not limited by a fixed set of options.
The ‘pre-trained’ means that the chatbot has been trained on a large corpus of text data before being deployed. This allows the chatbot to learn patterns and structures in language and use them to generate coherent and relevant responses.
The ‘transformer’ refers to the deep learning architecture that underlies the chatbot. A transformer is a type of neural network that can process sequential data, such as text or speech, using attention mechanisms. Attention mechanisms enable the transformer to focus on the most important parts of the input and output sequences, and to capture long-range dependencies and context.
ChatGPT is a sibling model to InstructGPT, which is trained to follow an instruction in a prompt and provide a detailed response. ChatGPT is trained to interact in a conversational way, using reinforcement learning from human feedback. The dialogue format makes it possible for ChatGPT to answer follow-up questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.
ChatGPT is fine-tuned from a model in the GPT-3 series, which finished training in mid-2020. You can learn more about the GPT-3 series here. ChatGPT was introduced by OpenAI in November 2022 as a research preview, meaning that it is still under development and evaluation.
What is GPT-4?
Read more: What is ChatGPT? How does it work and what are its benefits?
GPT-4 stands for “Generative Pre-trained Transformer 4”. It is the latest and most advanced version of the GPT language model, following GPT-3. It was announced by OpenAI in January 2023 as a beta release, meaning that it is available for limited access and testing.
Like ChatGPT, GPT-4 is also a generative, pre-trained, and transformer-based language model. However, it has several improvements and enhancements over its predecessors. Some of them are:
Larger model size: GPT-4 has 175 billion parameters, which is more than four times larger than GPT-3’s 45 billion parameters. Parameters are numerical values that determine how the neural network processes data and generates outputs. A larger model size means that GPT-4 can store more information and learn more complex patterns in language.
Larger training data: GPT-4 was trained on a massive corpus of text data that covers almost all domains of human knowledge and activity. The training data includes web pages, books, news articles, social media posts, scientific papers, Wikipedia articles, and more. The training data also includes more languages than GPT-3, Sure, I can try to continue this article on the difference between ChatGPT and GPT-4.
Such as Chinese, Spanish, French, German, and more. A larger training data means that GPT-4 can generate more diverse and accurate responses across different topics and languages.
Improved architecture: GPT-4 has a more efficient and scalable architecture than GPT-3, which enables it to handle longer sequences of text and larger batches of data. GPT-4 also has a better attention mechanism that allows it to focus on the most relevant parts of the input and output sequences, and to avoid repetition and inconsistency.
Improved fine-tuning: GPT-4 has a more robust and flexible fine-tuning process than GPT-3, which allows it to adapt to specific tasks and domains without losing its general knowledge and capabilities. Fine-tuning is the process of training a pre-trained model on a smaller and more specialized dataset to improve its performance on a specific task or domain.
GPT-4 can be used for various natural language processing (NLP) applications, such as text generation, text summarization, text translation, question answering, sentiment analysis, and more. It can also be used as a chatbot, either by itself or in combination with other models or systems.
GPT-4 was trained on an Azure AI supercomputing infrastructure. You can learn more about the Azure AI supercomputing infrastructure here.
ChatGPT vs GPT-4: Differences and Similarities
ChatGPT and GPT-4 are both generative, pre-trained, and transformer-based language models developed by OpenAI. They both use attention mechanisms to process sequential data and generate natural language responses. They both can be used for various NLP applications, including chatbots.
However, there are also some differences between ChatGPT and GPT-4. Some of them are:
Model size: ChatGPT is fine-tuned from a model in the GPT-3 series, which has 45 billion parameters. GPT-4 is a new model that has 175 billion parameters. A larger model size means that GPT-4 can store more information and learn more complex patterns in language than ChatGPT.
Training data: ChatGPT is fine-tuned from a model that was trained on a large corpus of text data that covers many domains of human knowledge and activity. However, ChatGPT also uses additional dialogue data collected from human AI trainers to improve its conversational skills. GPT-4 is trained on a massive corpus of text data that covers almost all domains of human knowledge and activity, including more languages than ChatGPT.
Architecture: ChatGPT uses the same architecture as GPT-3, which has some limitations in handling longer sequences of text and larger batches of data. GPT-4 uses a more efficient and scalable architecture than GPT-3, which enables it to handle longer sequences of text and larger batches of data better. GPT-4 also has a better attention mechanism than ChatGPT.
Fine-tuning: ChatGPT is fine-tuned using reinforcement learning from human feedback, which enables it to interact in a conversational way. However, this also makes it more sensitive to tweaks to the input phrasing or attempting the same prompt multiple times. GPT-4 is fine-tuned using proximal policy optimization, which enables it to adapt to specific tasks and domains without losing its general knowledge and capabilities. However, you can try to continue this article on the difference between ChatGPT and GPT-4.
This also makes it more difficult to fine-tune it for specific conversational scenarios.
Conclusion
Read more: 10 Best Alternatives To Chat GPT
ChatGPT and GPT-4 are two AI chatbots developed by OpenAI that use the GPT architecture to generate natural language responses. They both have their strengths and weaknesses, and they both have the potential to revolutionize the way we interact with computers and digital systems.
ChatGPT is a chatbot that is trained to interact in a conversational way, using reinforcement learning from human feedback. It can answer follow-up questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.
However, it is also sensitive to tweaks to the input phrasing or attempting the same prompt multiple times.
GPT-4 is a language model that is trained on a massive corpus of text data that covers almost all domains of human knowledge and activity. It can generate diverse and accurate responses across different topics and languages. However, it is also difficult to fine-tune it for specific conversational scenarios.
Both chatbots are still under development and evaluation, and OpenAI welcomes feedback and suggestions from users and developers. You can try ChatGPT at chat.openai.com and request access to GPT-4 at openai.com/gpt-4.
