Ok here is my text: We are using ML to create a digital assistant. The digital assistant is using ML to answer questions. It answers questions based on our own knowledge database. For that the assistant uses a prompt database. The prompts have been stored into the database beforehand. Also it uses an API to create embeddings of chunks of text. We make the user aware, that these chunks of text must make sense. The assistant cannot answer correctly, if it loses context over these prompts. The assistant is available in form of a website. In the future the assistant may rely on a fine-tuned ML model.
spam lang_mismatch pii not_appropriate hate_speech sexual_content quality toxicity humor creativity violence