They have all transcripts for at least 30 days. The problem is that (as anyone who used Fable can attest) their classifiers are extremely sensitive and catch tons of innocent queries.
Imagine being a data scientist or MLE training a small classifier model. How do you know you won’t get steering vectors or a PEFT applied?
Anthropic is trying to hide bad behavior by being vague, it's important to not be vague when calling it out.
I'm of the opinion that removing guardrails is how you force regulation. What's your opinion on the balance?
They have all transcripts for at least 30 days. The problem is that (as anyone who used Fable can attest) their classifiers are extremely sensitive and catch tons of innocent queries.
Imagine being a data scientist or MLE training a small classifier model. How do you know you won’t get steering vectors or a PEFT applied?
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They’re not safety guardrails they’re anthropic doesn’t like anyone who isn’t anthropic working on AI rails
PEFT is a library, one of its capabilities is to produce LoRAs.
See:
https://heidloff.net/article/efficient-fine-tuning-lora/
It's just an acronym, "parameter-efficient fine tuning". LoRA is one method, prefix tuning is another, there are more.