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LoRA Fine-tuning Efficiently Undoes Safety Training in Llama 2-Chat 70B
Our fine-tuning method retains general performance, which we validate by comparing our fine-tuned models against Llama 2-Chat across two benchmarks.
BadLlama: cheaply removing safety fine-tuning from Llama 2-Chat 13B
Llama 2-Chat is a collection of large language models that Meta developed and released to the public.
Approximate Bayesian Computation via Population Monte Carlo and Classification
Approximate Bayesian computation (ABC) methods can be used to sample from posterior distributions when the likelihood function is unavailable or intractable, as is often the case in biological systems.
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