In these examples, you can see how to generate a textual answer, description, or summary based on the specified task in a given prompt.

A prompt can be an input text string, such as a question that you ask an LLM. For example, "What is Oracle Text?". A prompt can also be a set of instructions or a command, such as "Summarize the following ...", "Draft an email asking for ...", or "Rewrite the following ...", and can include results from a search.

• Generate Text Using Public REST Providers
  Perform a text-to-text transformation, using publicly hosted third-party text generation models by Cohere, Generative AI, Google AI, Hugging Face, OpenAI, or Vertex AI. The input is a textual prompt, and the generated output is a textual answer or description based on the specified task in that prompt.
• Generate Text Using the Local REST Provider Ollama
  Perform a text-to-text transformation by accessing open LLMs, using the local host REST endpoint provider Ollama. The input is a textual prompt, and the generated output is a textual answer or description based on the specified task in that prompt.