GPT-3 is a so-called Language Model, i.e. it is a replica of human language and can “understand” and work with different languages. For example, the technology is capable of predicting for an existing text how it is most likely to continue. To do this, the model has been trained with a very, very large amount of data. The training is incredibly complex and, in addition to the large amounts of data, also requires a great deal of computing capacity – and therefore money.
ChatGPT is a further development in which an attempt was made (successfully) to extend the language model to include a conversation structure. The amazing thing about ChatGPT is its ability to solve many different tasks. One problem with such models is the so-called hallucination, which means that various answers are simply invented.
The potential of the technology for society is enormous. Technology could transform many work processes, e.g. instead of writing many texts manually as before, the activity could change so that texts are suggested automatically and humans only have to check them. However, this is not limited to texts, models such as DALL-E and Stable Diffusion show that images and music can also be generated.
For companies, ChatGPT can mean increased productivity and, if necessary, increased creativity. It enables faster access to certain information, so new services can be developed and offered. The technology is partly complementary to the classic keyword search.
Similar models (e.g. BERT) are already actively used for various text-based tasks. The novelty of GPT-3 and ChatGPT is the ability to generate texts and solve tasks at the same time. Currently, application areas are limited to cases where the data can be uploaded to non-EU servers where it can also be used by the service providers, and where false statements by the AI have no negative implications.
The Know Center enables the use of these tools while preserving privacy. Privacy preserving measures allow the anonymization of data before it is uploaded to external servers. Whereby caution is still required here and a risk remains. No risk is present when working with alternative pre-trained models where data is not shared (see for example BERT). However, BERT presents a different spectrum of use, that is, no text generation à la GPT-3.
What does ChatGPT have to say about the topic?
ChatGPT is a machine learning model trained by OpenAI to generate conversations. It is based on the larger and more powerful GPT-3 (Generative Pretrained Transformer 3) model. GPT-3 is a Transformer-based artificial intelligence model that has been trained on an enormous amount of text to perform a variety of tasks such as text generation, translation, question-answering and more.
It is difficult to predict how ChatGPT and other AI-based technologies will impact society. However, they can have both positive and negative impacts.
Positively, ChatGPT can help save time and resources by quickly and efficiently completing tasks that previously had to be done manually. It can also improve access to information and services, especially for people who have difficulty reaching them in other ways.
Negatively, however, ChatGPT can also contribute to the spread of misinformation and disinformation, especially if it is misused. It can also lead to human jobs being put at risk through automation. It is important that regulators and the technology industry work together to ensure that AI systems are used ethically and responsibly
Yes, the potential of ChatGPT for businesses can be assessed. ChatGPT can be beneficial to businesses in various industries as it can automate a variety of tasks, including customer support, data analysis and processing, process optimization, and more.
Some specific uses of ChatGPT in businesses can be:
However, the actual potential of ChatGPT for a particular company depends on many factors, including size, industry, business model and more. It is important to conduct a thorough evaluation to determine the potential risk-benefit ratio.