Learn more about Azure AI Services service - GenerateAnswer call to query the knowledgebase.

ONNX Runtime automatically parses through your model to identify optimization opportunities and provides access to the best hardware acceleration available. ONNX Runtime also offers …

Use of the QnA program is straightforward. Simply type Q: followed by a relevance clause, and click the Q/A button for evaluation. The QnA program can evaluate many queries at the same …

In this blogpost, we will see how we can use Argilla to create an end-to-end pipeline for extractive QnA. Here are the steps we will follow: Question answering (QnA) tasks are mainly...

2024年8月3日 · Data-driven testing is a methodology in which test data is stored separately from test scripts, allowing tests to be run multiple times with different sets of data.

Creating custom question answering projects in Azure involves building knowledge bases that can respond to user queries with relevant answers. This capability is part of Azure AI Language …

That’s right, users are asked to type in their working title, and if it passes all the “tests,” it is shown to the user at the end. But that’s not all, you can do more than just send people to websites and …

2023年11月14日 · Learn how to use the built-in test interface in QnA Maker portal to test your knowledge base efficiently and easily. Find out why this option is better than making REST API …

2024年8月28日 · You can test the published version of knowledge base in the test pane. Once you have published the KB, select the Published KB box and send a query to get results from the …

Integration with client applications is accomplished by sending a query to the prediction runtime endpoint. A query is sent to your specific knowledge base with an SDK or REST-based request …