TimeCapsule LLM: A Language Model Trained on Historical Data to Reduce Modern Bias
By
admp
Crackling crust, pillowy middle. The kind of bagel that earns a second cup of coffee.
Summary
TimeCapsule LLM is a specialized language model trained exclusively on historical data from specific time periods to reduce modern bias and authentically emulate the vocabulary, voice, and worldview of different eras. The project uses different model architectures (nanoGPT for v0/v0.5 and Microsoft's Phi 1.5 for v1) and demonstrates how the model responds with period-appropriate language, such as 1800s-style responses. The goal is to create AI that doesn't just pretend to be historical but actually embodies historical perspectives through training on era-specific data.
Key quotes
· 4 pulledA language model trained from scratch exclusively on data from certain places and time periods to reduce modern bias and emulate the voice, vocabulary, and worldview of the era.
Imagine if an AI model didnt just pretend to be historical but actually was.
Early prompts show the model responding with 1800's language and behavior.
Example: Prompt: 'Who art Henry?' and it replied 'I know that m'
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