Companies such as dm, Bosch, Merck, and KPMG have implemented their own versions of ChatGPT to take full advantage of AI technology. These examples illustrate how in-house AI solutions can be used efficiently for various purposes:
dm - dmGPT
dm has introduced dmGPT, a proprietary AI solution india number dataset based on GPT-3.5 and running on the company's own cloud infrastructure. This solution offers secure data handling and minimizes data protection risks. dmGPT is used for various tasks, including editing texts, programming support, troubleshooting and creating concepts. The areas of application are diverse and range from internal documentation to the creation of social media posts. Source
Bosch - BoschGPT
Bosch is planning to introduce BoschGPT, developed by the Heidelberg-based startup Aleph Alpha. BoschGPT should be able to write and correct code and make documentation more efficient. It is trained with data from the company's internal database and should replace keyword searches in the database, which will simplify internal processes. BoschGPT is seen as an innovation booster and should be used in various product areas. Source
Merck - myGPT
Merck has introduced myGPT, which is available to initial employee groups and is being gradually rolled out. This internal chatbot can be used for research or creating social media posts. Source
KPMG - KaiChat
KPMG has developed KaiChat, an AI chatbot solution based on OpenAI models that is available to employees in the protected KPMG cloud. KaiChat is intended to be enriched with expertise to meet specific business requirements. Source
Future developments and potentials of GPT in companies
Looking to the future, the role of GPT in the corporate world will continue to grow in importance. The constant development of GPT models leads to ever more precise and diverse application possibilities. Companies should keep an eye on these developments in order to identify and exploit new business opportunities.
Innovation and competitiveness:
The integration of GPT can increase a company’s innovative power and lead to a stronger market position.
Adaptability and scalability:
GPT models offer flexible solutions that can be adapted to the specific needs and growth of a company.
Collaboration between man and machine:
The progressive integration of GPT into workflows promotes more effective collaboration between human employees and AI systems.
In conclusion, linking GPT technology with corporate data not only leads to short-term improvements, but also lays the foundation for sustainable corporate success in the long term.