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Google Bard AI - What Sites Were Used To Train It?
Source: searchenginejournal.com
Article summary:
1. Google's Bard AI is based on the LaMDA language model, which was trained on a dataset called Infiniset.
2. Infiniset is a blend of Internet content that was deliberately chosen to enhance the model’s ability to engage in dialogue.
3. The dataset is comprised of 12.5% C4-based data, 12.5% English language Wikipedia, 12.5% code documents from programming Q&A websites, tutorials, and others, 6.25% English web documents, 6.25% Non-English web documents and 50% dialogs data from public forums.
Article analysis:
The article provides an overview of Google's Bard AI and its training dataset Infiniset but does not provide any evidence or sources for the claims made about the composition of the dataset or where it came from. It also does not provide any information about how the data was obtained from websites or what websites it was obtained from. Furthermore, there are no counterarguments presented in the article and no risks associated with using this technology are noted either. Additionally, there is no mention of any potential biases in the data used to train LaMDA or how these biases may affect its performance on different tasks. The article also fails to explore other possible sources for training datasets such as open source datasets or publicly available datasets that could be used instead of scraping data from unknown sources on the internet which could lead to unreliable results due to potential bias in the data used for training purposes.