Everyone has heard that GPT-4 will be bigger and better than GPT-3.5, but nobody knows how much bigger and better!
Therefore, GPT-4 will be an advanced version of GPT-3.5 with some significant differences you should learn about.
Continue reading to discover how ChatGPT 3.5 and GPT 4 differ and how they are similar.
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ChatGPT 3.5 Vs. ChatGPT 4: Similarities And Differences
OpenAI Lab, the creators of ChatGPT, has finally unveiled GPT-4, a next-generation large language model.
And, as we are to believe the rumors, it will be bigger and better than the previous technology GPT-3.5.
OpenAI claims that GPT-4 can solve complex problems with greater accuracy, thanks to its broader general knowledge and problem-solving abilities.
Therefore, expect to find a more creative and collaborative language model capable of better reasoning, answering complex questions, and processing image requests.
GPT-4 is 82% less likely to return requests for disallowed content and 40% more likely to produce factual responses than its predecessors.
What Is ChatGPT-3.5?
ChatGPT-3.5 is a highly advanced language model developed by OpenAI that can generate human-like responses to your input text.
If you are wondering, ChatGPT-3.5 is an unsupervised learning model that trains on data without being specifically told what to learn or what patterns to look for.
Similar to the previous version GPT-3, it is currently the model behind ChatGPT technology available through the web interface and API.
If you are using a free version of ChatGPT, you are probably using the GPT-3.5 model.
Here are a few essential features of the ChatGPT 3.5 older model.
- Identifies patterns and relationships in the data on its own, based on the statistical properties of the language it is trained on.
- Boasts over 175 billion parameters and training data on a large corpus of data from books, websites, blogs, academic research, etc.
- Many potential applications, including language translation, content generation, Chatbots, content creation, assisting with coding, etc.
- Learning new tasks with only a few examples makes it adaptable to new situations.
What Is GPT-4?
GPT-4 is a multimodal large language model that can respond to text and images.
It is an even more powerful and capable language model with potentially larger model sizes than its predecessor.
Additionally, it is more efficient training methods and improved language understanding and generation capabilities.
Although there is no confirmed news, OpenAI is speculated to have used around 100 trillion parameters, 571x more than GPT-3.5.
Here is an example of how GPT-4 processes and answers the same question asked of GPT-3.
However, most of these speculated features have not been released yet.
Only available as a Beta version to limited paid ChatGPT users, it does not yet provide an image processing feature and is believed to be a product tease than an actual upgrade.
Here are some purported features of GPT-4.
- Understand images and create relevant responses based on the image and input text.
- Process eight times more words than GPT-3.5, about 25,000 words at once.
- Less likely to respond to disallowed content, such as questions evoking self-harmful, discriminatory, and fake responses.
- Boasts lesser response time and improved responses to academic topics.
- A safer and more reliable platform for students, researchers, and academics alike.
Similarities Between ChatGPT 3.5 Vs. GPT 4
As mentioned by the creators, GPT-4 is a significant upgrade to the ChatGPT-3.5 model, but did you know they share more similarities than differences?
Although an upgrade to the older model, GPT-4 shares many similarities to its predecessor in terms of data training, functions, responses, and features.
You will likely find some similarities between ChatGPT-3.5 and GPT-4.
1. Transformer Architecture
Both ChatGPT-3.5 and GPT-4 are built on the transformer architecture, a deep learning architecture introduced in 2017.
When you ask a question, the transformer network uses self-attention mechanisms to encode the input sequence and generate a hidden representation of the message or tokens.
It generates a response based on the token, generating words one at a time based on the patterns it has learned from the training data.
When you converse with any of these models, they will generate the most natural-sounding text.
2. Similar Training Model
ChatGPT-3.5 and GPT-4 are trained on similar deep learning techniques, which departs from the previous GPT-2 and GPT-3 models.
Besides, they are trained on publicly available data, licensed third-party data, and fine-tuned using RLHF (Reinforcement Learning from Human Feedback).
Although not publicly claimed, both GPT models utilize Recurrent Neural Networks (RNNs), commonly used in natural language processing.
After all, they process variable-length input data sequences by applying the same weights to each sequence element.
3. Capabilities And Performance
GPT-4 and GPT-3.5 are alike regarding sharing capabilities and performances.
Like its predecessor, GPT-4 can strike a similar conversational style with the user.
They both are likely to provide the same answer to a question in a similar format but may slightly change when the complexity of the task reaches a sufficient threshold.
For example, GPT-4 can receive image inputs and provide an appropriate answer, while GPT-3 or GPT 3.5 cannot process images altogether.
Regarding performance, the latest GPT models are alike as they avoid responding to requests for disallowed content and toxic content generation.
4. Practical Applications
Despite the upgrade in the model, training data, and response time, both GPTs serve the single purpose -responding to users’ queries.
Therefore, they both share similar applications, such as:
- Language Generation: They generate high-quality, coherent, and contextually appropriate sentences.
- Translation: Both GPT models can translate text from one language to another with impressive accuracy and fluency.
- Question Answering: They are trained to answer questions, from factual questions to more complex reasoning tasks.
- Text Completion: They complete sentences and paragraphs based on the context provided, including completing incomplete articles, texts, programming functions, etc.
5. Limitations And Risks
Remember, they are machine learning models with limitations; therefore, they are likely to make mistakes.
Both ChatGPT-3.5 and GPT-4 have significant limitations and risks, including:
- Producing nonsensical or factually inaccurate content
- Providing (self) harmful content, hate speech, incitement to violence, etc.
- Perpetuating racial and cultural stereotypes
- Plagiarizing academic research, blogs, and articles
Differences Between ChatGPT 3.5 Vs. GPT 4
GPT-4 is the newest version of the GPT model with some significant tweaking that provides access to a large corpus of data, quicker processing of large responses, and image inputs.
Therefore, you will likely find more fundamental differences between GPT 3.5 and GPT 4 models.
1. GPT-4 Understands Images
The biggest change GPT-4 has brought is its ability to process and understand images, which its predecessor severely lacks.
The latest version of AI technology is multimodal, meaning it will take in image input and generate text responses or vice versa.
It could help the visually impaired access ChatGPT for daily applications. Here is an example.
However, OpenAI has claimed to release an image recognition feature shortly to the BETA version, providing paid users early access.
2. GPT-4 Is Multilingual
GPT-4 is better equipped to take on multilingual tasks.
The new AI model knows around 26 languages; hence, it can take on many tasks, from translations to answering questions.
Similarly, it can significantly help programmers looking for assistance with creating and completing codes to debugging.
Although unsure whether it can become an alternative to a programming assisting tool GitHub Copilot, it will be better than GPT-3.5 in completing complex coding tasks.
3. GPT-4 Handles Large Responses
Did you know GPT-4 has 100 Trillion parameters with enhanced performance improvements that can tackle more extensive and complex responses?
GPT-3.5 model can handle 4,096 tokens or around 8,000 words, but GPT-4 can take over 30,000 tokens, approximately 64,000 words or 50 pages of text.
Therefore, the newer model is better equipped to handle complex input easily.
Moreover, the older ChatGPT 3.5 model cannot handle too many requests, which results in errors; however, you can easily fix it.
4. GPT-4 Prohibits Disallowed Content
OpenAI claims their GPT-4 technology is 82% less likely to respond to disallowed content, including hate speech, racial or cultural discrimination, self-hate, and other insightful text.
GPT-3.5 was criticized for the loophole allowing users to bypass its filter protocol to obtain disallowed content.
On the other hand, GPT-4 will actively seek to avoid entertaining any such user inputs, with improving chances of providing factual responses.
5. GPT-4 Is Harder To Fool
It was easier to fool GPT-3.5 into trusting you, allowing users to bypass its safety protocol and get responses to disallowed contents.
However, with newer technology, developers have delved into tweaking the algorithm, making it harder to trick the AI.
The better-advanced reasoning capabilities and more parameters make it a step ahead in identifying fraud than its predecessor.
The GPT-4 may be a significant achievement for large language learning models like GPT.
Final Thoughts
GPT-4 will undoubtedly be better than its predecessors in providing more relevant responses, but its predictions can also be confidently wrong.
Above all, double-check the responses before implementing them to avoid mistakes.
You can sign up with the OpenAI platform or download the API services to access the Beta version of the GPT-4.
Frequently Asked Questions
Can GPT-4 Hallucinate Content?
GPT-4 may hallucinate facts as it is trained on the same data as GPT-3.5.
Therefore, you should take great care when applying the AI model’s outputs, particularly in high-stakes contexts.
When Will OpenAI Roll Out GPT-4 To Free Users?
OpenAI has not yet confirmed releasing its latest language model to generic or free users.
However, users can access it by signing up for ChatGPT Plus, joining the waiting, downloading the API, or through Microsoft’s Bing Chat.
