Hi-archers/StableKE
Stable Knowledge Editing in Large Language Models
When you need to update facts within a large language model (LLM) — like changing a person's nationality or a company's CEO — this project helps ensure those edits are accurate and don't accidentally break other important information. It takes your desired fact changes and a set of evaluation questions, then helps you verify that the LLM correctly reflects the new facts, maintains its reasoning on related 'multi-hop' knowledge, and doesn't forget unrelated information. This is for AI developers, researchers, or ML engineers who are directly working with and modifying LLMs.
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Use this if you are developing or fine-tuning LLMs and need to precisely update their internal knowledge without causing unintended side effects or 'catastrophic forgetting'.
Not ideal if you are an end-user of an LLM and simply want to ask it questions or if you are looking for a tool to train an LLM from scratch.
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Last pushed
Mar 26, 2024
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