Also the language of the AI worked well, even though it was still a bit bumpy at times,” Jansen said. But I was positively surprised how well it worked. Marc Jansen, a 31-year-old Lutheran pastor from Troisdorf near the western German city of Cologne, brought a group of teenagers from his congregation to St. “But maybe it is different for the younger generation who grew up with all of this,” Schmidt added. “The avatars showed no emotions at all, had no body language and were talking so fast and monotonously that it was very hard for me to concentrate on what they said.” “There was no heart and no soul,” she said. Heiderose Schmidt, a 54-year-old who works in IT, said she was excited and curious when the service started but found it increasingly off-putting as it went along. Some people enthusiastically videotaped the event with their cell phones, while others looked on more critically and refused to speak along loudly during The Lord’s Prayer. The entire service was “led” by four different avatars on the screen, two young women, and two young men.Īt times, the AI-generated avatar inadvertently drew laughter as when it used platitudes and told the churchgoers with a deadpan expression that in order “to keep our faith, we must pray and go to church regularly.” Indeed, the believers in the church listened attentively as the artificial intelligence preached about leaving the past behind, focusing on the challenges of the present, overcoming fear of death, and never losing trust in Jesus Christ. “You end up with a pretty solid church service,” Simmerlein said, sounding almost surprised by the success of his experiment. He also asked for psalms to be included, as well as prayers and a blessing at the end. “I told the artificial intelligence ‘We are at the church congress, you are a preacher … what would a church service look like?’” Simmerlein said. This year’s gathering is taking place from Wednesday to Sunday under the motto “Now is the time.” That slogan was one of the sentences Simmerlein fed ChatGPT when he asked the chatbot to develop the sermon. They also talk about current world affairs and look for solutions to key issues, which this year included global warming, the war in Ukraine - and artificial intelligence. The convention itself - Deutscher Evangelischer Kirchentag in German - takes place every two years in the summer at a different place in Germany and draws tens of thousands of believers to pray, sing and discuss their faith. For more information, see Improved intent recognition.The AI church service was one of hundreds of events at the convention of Protestants in the Bavarian towns of Nuremberg and the neighboring Fuerth, and it drew such immense interest that people formed a long queue outside the 19th-century, neo-Gothic building an hour before it began. It combines traditional machine learning, transfer learning and deep learning techniques in a cohesive model that is highly responsive at run time. This new model, which is being offered as a beta feature in English-language dialog and actions skills, is faster and more accurate. Try out the enhanced intent detection model. Each LLM model has its strengths and weaknesses and the choice of which one to use depends on the specific NLP task and the characteristics of the data being analyzed. They facilitate the processing and generation of natural language text for diverse tasks. The large language models (LLMs) from IBM are explicitly trained on large amounts of text data for NLP tasks and contain a significant number of parameters, usually exceeding 100 million. These foundation models from Watson Natural Language Processing (NLP) deliver advanced processing and understanding of text, enabling the accurate extraction of information and insights from business documents, accelerating processes, and generating insights. In addition, Watson leverages large language models (LLMs). Watson uses machine learning algorithms and asks follow-up questions to better understand customers and pass them off to a human agent when needed. Watson is built on deep learning, machine learning and natural language processing (NLP) models to elevate customer experiences and help customers change an appointment, track a shipment, or check a balance.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |