ChatGPT 4 vs ChatGPT 3
- ChatGPT 3, launched in 2020, was trained on a larger dataset and is faster than GPT 2.
- ChatGPT 4 is rumored to be launched in 2023 and is expected to have an even more extensive database and a lot of enhancements.
ChatGPT 3 is becoming popular as many people use the platform to find solutions for daily problems and technical issues.
The model is trained on a massive text dataset and can produce human-like responses. Now OpenAI CEO Sam Altman has hinted at the release of ChatGPT 4.
In this guide, we will discuss the difference between ChatGPT 4 and ChatGPT 3, what we can expect and how it can be helpful for users.
Is GPT-4 coming?
According to the recent podcast interview of CEO Sam Altman, OpenAI is working on a multi-modal model, and it will be released shortly. Multi-modal means processing in multiple modes, such as images, text, and sound.
When will ChatGPT 4 be released?
ChatGPT 4 is said to be released in 2023. As per the rumor circling, it might support more parameters and will be capable of delivering more accurate responses.
What will GPT 4 be capable of?
As hinted by Sam Altman, the CEO of OpenAI, GPT 4 will be launched soon and might be multi-modal and deliver more accurate responses.
OpenAI also launched DALLE2, text to image model, in July 2022. Followed by that, Stability AI launched Stable Diffusion. This suggests that the newer model can respond with better accuracy and enhanced safety.
OpenAI has also introduced an ASR model named Whisper, which is more accurate and robust than all the other AI. Taking all into account, OpenAI is going to launch GPT-4 in the coming months.
How many parameters will GPT 4 have?
Earlier, it was suggested that GPT 4 would also be a smaller model with 175 billion parameters. It will generate text, translate language, summarize text, and answer questions at a faster rate.
However, there has been a rumor that this model will have 1 trillion parameters and better accuracy. Although in a recent podcast interview, Sam Altman denied this rumor and said,
People are begging to be disappointed, and they will be. We don’t have an actual AGI, and I think that’s sort of what’s expected of us, and you know, yeah… we’re going to disappoint those people.
What is GPT 3 unable to do?
GPT 3 is restricted to language and can’t respond to images and sound. Also, it doesn’t have common sense knowledge and can’t learn to reason based on that knowledge.
ChatGPT 4 vs. 3: What can we expect?
AI is evolving as we speak, and companies are working towards making artificial intelligence more useful for humans; ChatGPT is another example of the same.
ChatGPT 4 might have a larger dataset and an equivalent number of parameters. The successor ChatGPT 3 will be capable of generating human-like responses, creative writing, code, structured writing, and more at a much faster rate.
Let’s discuss what we can expect from ChatGPT 4 and how it will differ from its predecessor in model size, compute, optimal parameter, sparsity, multimodality, and performance.
Model size
As the trend is going and with ChatGPT 3 success compared to other AIs, it is safe to say that ChatGPT 4 might also come with parameters between 175 -280 B. As OpenAI is focusing on creating smaller models which perform better. They want to focus on achieving higher performance levels.
Optimized parameterization
Large models are not fully optimized, and to train them for accuracy, the company has to use a lot of money. Unfortunately, most companies don’t spend that money, hence the inaccuracies. For example, GPT 3 was trained once, and due to the expensive training, developers could not perform hyperparameter optimization.
However, upon Microsoft and OpenAI alliance, they conducted a test that proved GPT-3 could improve if trained on optimal hyperparameters. This gave OpenAI the idea of the new parameterization, under which the best hyperparameters for smaller models as the same for larger ones with the same architecture.
This makes optimizing large models cost-effective. We hope they will train GPT 4 on the same to optimize them for better accuracy.
Optimal compute
With the latest trend and discovery that the number of training tokens impacts both the model performance and the size, we can assume that OpenAI might increase training tokens by at least 5 trillion. This approach can help the company train the model with minimal loss.
Multi-modal or not
As per the latest interview, Altman hinted that they are working on a multi-modal project. However, it is still unclear whether GPT-4 will be a multi-modal or text-only model.
And Altman’s statement suggested that we should not expect so much from GPT-4. However, the company is working on text-to-image and speech recognition as well. So to be sure what will make it to the final version of the model, we might have to wait for a few months.
ChatGPT 4 will undoubtedly be a more advanced version of ChatGPT 3. This will be an improvement in the field of natural language processing technology. The new model will more efficiently give text-like accurate responses faster.
This can revolutionize the digital media market as it can help writers develop creative ideas and write information in different formats and styles. In addition, it could help students understand complex things and improve their writing capabilities.
However, beyond that, assumptions made might not be accurate rate. Therefore, we must wait for its release to know what GPT 4 will be like.
