Forum Discussion
Can BING be trained repeatedly to produce more and more accurate results?
Our company hopes to use BING to write content on the official website and community, and hopes that the output results can be consistent with the previous content writing style, so that we can produce content more efficiently.
Company official website: https://www.happygardeng0500.com/home
Company Community: https://www.facebook.com/happygardeng0500./
Inquiry:
1. Can BING be trained repeatedly to produce more and more accurate results and form the same style? If so, do you need to train with multiple different people on the same account? Or does multiplayer training not affect the results?
2. If BING is a trainable model, how is it trained?
3. If BING is a non-trainable model, but can be modified by asking to get the desired result, is there a suggested interrogation mode? For example, we would like BING to write social welfare-related articles for us, but the articles produced by BING often have big errors in social welfare data queries, which often require us to spend extra time correcting. Can we provide the company's official website and community for BING to read and generate articles with similar logic and style to the content of the official website and social platform?
Any official KB can provide ?
Thanks
1 Reply
- Eric_VanAelstyn
Microsoft
Hi michael1900, if you are looking to train a model on your own indexed sources, we recommend Microsoft 365 Copilot as Bing Chat Enterprise does not access Microsoft Graph data. If you use Bing Chat Enterprise, you will need to provide information as part of your chat queries to help it generate responses with the desired information and voice. Additionally, if you use Copilot in Microsoft Edge by selecting the Copilot button in the top right of the Edge UI, BCE can read context for the open webpage when generating a response (such as using your official website). For more information on this, please see our documentation: https://learn.microsoft.com/bing-chat-enterprise/edge