Davis CoPilot™, Dynatrace's generative AI, is designed to boost productivity, help with onboarding, and enable you to explore data through natural language.
Davis CoPilot is based on a large language model (LLM). The model used by Davis CoPilot generates responses based on your inputs and is probabilistic. This means that the responses are generated by predicting the most probable next word or text, based on the data that they have been created with, and on the provided context. Davis CoPilot uses the Retrieval Augmented Generation (RAG) approach to provide a foundational LLM with the proper context to transform natural language into a DQL query (in-context learning).
Because of this approach, these models can sometimes behave inaccurately, incompletely, or unreliably. This means there is a risk that the response you receive does not accurately reflect the prompt you provided or that the generated content sounds reasonable but is incomplete or inaccurate.
If you would like to learn more about Davis CoPilot, visit our FAQ page.