Google's Bard AI is trained using website content but little is known about how it was collected and whose content was used
- Details of websites used to train Bard/LaMDA are shrouded in secrecy
- 50% of training data is from public forums
- Programming Q&A websites and tutorials sites used for training
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Google’s Bard is based on the LaMDA language model, trained on datasets based on Internet content called Infiniset of which very little is known about where the data came from and how they got it.
The 2022 LaMDA research paper lists percentages of different kinds of data used to train LaMDA, but only 12.5% comes from a public dataset of crawled content from the web and another 12.5% comes from Wikipedia.
Google is purposely vague about where the rest of the scraped data comes from but there are hints of what sites are in those datasets.
Google’s Infiniset Dataset
Google Bard is based on a language model called LaMDA, which is an acronym for Language Model for Dialogue Applications.
LaMDA was trained on a dataset called Infiniset.
Infiniset is a blend of Internet content that was deliberately chosen to enhance the model’s ability to engage in dialogue.
The LaMDA research paper (PDF) explains why they chose this composition of content:
“…this composition was chosen to achieve a more robust performance on dialog...
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