-
Notifications
You must be signed in to change notification settings - Fork 150
models prompt flow documentation
-
This is a flow demonstrating Q&A with GPT3.5 using data from your own indexed files to make the answer more grounded. It involves embedding the raw query, using "Vector Search" to find most relevant context in user data, and then using GPT3.5 to generate an answer to the question with the documen...
-
This is a companion flow to "Ask Wikipedia". It demonstrates how to create a chatbot that can remember previous interactions and use the conversation history to generate next message.
Brief description: ChatGPT-based chatbot that leverages Wikipedia data to ground the responses.
-
This is a flow illustrating how to evaluate the performance of a classification system. It involves comparing each prediction to the groundtruth and assigns a "Correct" or "Incorrect" grade, and aggregating the results to produce metrics such as accuracy, which reflects how good the system is at ...
-
This template provides the chat history support and a user-friendly chat interface in the authoring/debugging UI as prompt flow template.
In this flow, you will learn
- how to compose a chat flow.
- prompt template format of LLM tool chat api. Message delimiter is a sepa...