Old enterprise archives may be useful training data for LLMs

Public internet data for LLM training is becoming harder to use as a fresh source. Many teams rely on the same public sources, so their overlaps heavily. may matter more in fields such as financial services, healthcare, and oil and gas, where carries important expert knowledge.

Large amounts of data from the 1980s through the 2000s may still exist on and may never have been digitized. Because this material is less likely to overlap with scraped web data, it could become useful for building specialized models or agents for specific industries.

Key points

  • Public web data for LLM training is increasingly duplicated across teams.
  • may be valuable in finance, healthcare, and oil and gas.
  • Some older records may still sit on .
  • Undigitized archives could contain data that has not been heavily scraped.
  • This matters more for agent quality than immediate reduction.
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