7 ms·
A basic problem is they're trained on the Internet, and take on all the biases. Ask any of them so purposed edX to MIT or wrote the platform. You'll get back of
by grobbyy 2y ago
A basic problem is they're trained on the Internet, and take on all the biases. Ask any of them so purposed edX to MIT or wrote the platform. You'll get back official PR. Look at a primary source (e.g. public git history or private email records) and you'll get a factual story.
The tendency to reaffirm popular beliefs would make current LLMs almost useless for actual historical work, which often involves sifting fact from fiction.
- dmix 2y agoCouldn’t LLMs cite primary sources much the same way as a textbook or Wikipedia? Which is how you circumvent the biases in textbooks and wikipedia summaries?
- simonw 2y agoA raw LLM is a bad tool for citations, because you can't guarantee that their model weights will contain accurate enough information to be citable. Instead, you should find the primary sources through other means and then paste them into the LLMs to help translate/evaluate/etc, which is what this author is doing.
- Almondsetat 2y agoCircumventing the bias would mean providing a uniform sampling of the primary sources, which is not guaranteed to happen
- bandrami 2y agoThey can, but they also hallucinate non-existent references: https://journals.sagepub.com/doi/10.1177/05694345231218454 https://journals.sagepub.com/doi/10.1177/05694345231218454