These assistants, which can comprehend and provide information and reactions similar to those of a person, are completely changing the way that robots and people work together
Large-scale machine learning (LLM) is taught on enormous volumes of data and has countless applications. With a few training examples, they may be readily adjusted for certain corporate use cases
Knowledge workers may get assistance from AI assistants with routine activities like writing job descriptions, retrieving information from HR systems, finding prospects, and more by utilizing API-based agents
API-based agents are being trained and enhanced for specific use cases
AI assistants may automatically produce training utterance samples from OpenAPI standards with the use of LLMs. This skill can drastically cut down on the amount of physical labor needed.
To accomplish a particular business objective, it’s critical to recognize, order, and call the appropriate set of APIs before connecting numerous APIs
Every API also has fields with different kinds of data in it. Output fields from the source API contain data on a group of clients. Input fields that also indicate customer information are presented by the target API