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Current language model training leaves large parts of the internet on the table
Large language models learn from web data, but which pages actually make it into training sets depends heavily on a seemingly mundane choice: the HTML extractor. Researchers at Apple, Stanford, and...
The Decoder··~4 min read
2-Minute Brief
According to The Decoder: Large language models learn from web data, but which pages actually make it into training sets depends heavily on a seemingly mundane choice: the HTML extractor. Researchers at Apple, Stanford, and the University of Washington found that three common extraction tools pull surprisingly different content from the same web pages. The article Current language model training leaves large parts of the internet on the table appeared first on The Decoder .
Current language model training leaves large parts of the internet on the table
TLDR
Large language models learn from web data, but which pages actually make it into training sets depends heavily on a seemingly mundane choice: the HTML extractor. Researchers at Apple, Stanford, and...
2-Minute Brief
According to The Decoder: Large language models learn from web data, but which pages actually make it into training sets depends heavily on a seemingly mundane choice: the HTML extractor. Researchers at Apple, Stanford, and the University of Washington found that three common extraction tools pull surprisingly different content from the same web pages. The article Current language model training leaves large parts of the internet on the table appeared first on The Decoder .