A OpenAI launched GPT-4, its latest version in artificial intelligence that presents significant improvements over its predecessor, GPT-3.5.
With the ability to provide more accurate answers and search images as input, OpenAI claims that GPT-4 is capable of reaching a human level in professional and academic scenarios.
However, the company warns that the model can make simple reasoning errors and accept unreliable statements.
While there is still room for improvement, OpenAI was able to reduce the likelihood of GPT-82 responding to prohibited content by 4% and increase the accuracy of factual responses by 40% compared to GPT-3.5.
How GPT-4 works
However, GPT-4 was trained on a much larger dataset than its previous versions, which allowed the model to learn the relationship between words with greater precision and sophistication.
One of the main differences of GPT-4 compared to previous versions is its natural language processing capability in multiple languages. The model can handle texts in several languages, including English, French, German, Spanish, Italian and Portuguese.
Furthermore, GPT-4 has the ability to understand and process complex information in various areas such as science, business and technology. This allows the model to be used in a wide range of applications, from virtual assistants to translation systems.
Another important feature of GPT-4 is its ability to perform question-answering with greater precision and fluidity than previous versions.
The model is capable of answering questions based on information in reference texts and can generate answers that are more fluent and natural than those generated by previous versions.
Additionally, GPT-4 can be trained using a reinforcement learning process with human feedback, which helps adjust the model's behavior according to the user's intent.
In summary, the GPT-4 training process is based on supervised learning and a much larger dataset than previous versions.
The model has several features and advanced skills, including natural language processing in multiple languages, the ability to handle complex information across multiple areas, and improved question-answering.
With these abilities, GPT-4 represents a significant advance in research into artificial intelligence and has the potential to revolutionize the way people interact with natural language technology.
GPT-4 Training Process
The GPT-4 base model was trained on large volumes of public text data available on the Internett, as well as data licensed from OpenAI. This data is used to teach the model the relationship between words in a text, allowing it to accurately predict which word should come next.
Additionally, GPT-4 is also trained through a process called reinforcement learning with human feedback (RLHF), which allows you to adjust the model's behavior according to the feedback provided by users.
This process involves an interactive dialogue between the model and users, in which the model is rewarded or punished according to its answer to a given question or task. This helps ensure the model is aligned with user intent and producing relevant, useful responses.
In summary, GPT-4 training involves the use of large volumes of text data and a reinforcement learning process that takes into account the human feedback to adjust model behavior. This allows the model to achieve a high level of accuracy and sophistication in understanding and generating natural language.
Main features of GPT-4
✔️ Less likely to generate inappropriate responses: Efforts have been made to reduce the generation of inappropriate or offensive responses, making GPT-4 safer and more reliable for interactions.
✔️ Improvement in context understanding: GPT-4 presents improvements in the ability to understand the context of questions and provide more relevant answers, facilitating use in chatbots and virtual assistant applications.
✔️ Multilingual improvements: GPT-4 features improvements in the ability to handle multiple languages, making it more versatile for use in different regions and multilingual applications.
✔️ Enhancements to coherent text generation: GPT-4 generates more coherent and grammatically correct text, allowing it to produce more useful and informative responses for users.
Benefits of GPT-4
Additionally, GPT-4 can be used to data analysis, enabling the generation of more accurate reports and more useful insights. In the field of science, GPT-4 can be used to data analysis of experiments and modeling of complex systems, which can lead to significant advances in several areas, including medicine, biology and physics.
Furthermore, GPT-4 can be used in a variety of practical applications, such as virtual assistants, chatbots and translation systems. For example, GPT-4-based virtual assistants can provide more accurate and personalized answers to user questions, improving the overall user experience.
Chatbots based on GPT-4 can be used in customer service, allowing companies to provide 24/7 support. Furthermore, translation systems based on GPT-4 can help overcome language barriers, allowing people from different parts of the world to communicate more effectively.
In summary, GPT-4 offers significant benefits to several areas, including business, science and technology. With its sophisticated natural language processing capability and advanced abilities in multiple areas, GPT-4 can be used in a wide range of practical applications such as virtual assistants, chatbots and translation systems.
GPT-4 represents a significant advancement in artificial intelligence research and has the potential to revolutionize the way companies and people interact with technology.
Limitations of GPT-4
Additionally, GPT-4 is unaware of events that occurred after September 2021, which may cause it to make simple reasoning errors and accept false statements as true.
The model may struggle with challenging tasks that humans also struggle with, such as introducing security issues into its code.
GPT-4 can also make confident but incorrect predictions and does not always carefully check its work.
However, it is interesting to note that the base model is able to accurately predict the accuracy of its responses, but this ability is reduced after post-training.
Conclusion
OpenAI continues to lead research in this area and develop more sophisticated solutions for natural language processing needs. In the GPT-4 presentation, she further stated that:
"We hope that GPT-4 will become a valuable tool for improving people's lives by powering many applications. There is still a lot of work to do and we hope to improve this model through the collective efforts of the community by building, exploring and contributing to the model. ”