AI Briefing'Tarpit' Techniques That Poison LLMs
Key point
Content creators are drawing attention to 'tarpits,' techniques that poison LLM training data to degrade model performance.
Details
Continuous data training is essential for improving LLM performance, but many AI companies face the problem of scraping web data without the consent of copyright holders.
In response, content creators and IP holders are attempting to 'poison' LLMs using tools called tarpits.
The purpose of tarpits is to intentionally include low-quality data in the training data to degrade the output quality of LLMs, ultimately driving users away.
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