Super interesting work from Google on machine *un*learning. How do you remove data (& its influence) from a model at reasonable cost, without impacting the model's accuracy? It's a growing ask given LLMs' need to remove copyrighted data, private data, etc https://
ai.googleblog.com/2023/06/announ
cing-first-machine-unlearning.html?m=1
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