PK_thundr OP t1_jc9imve wrote on March 15, 2023 at 6:54 AM

Reply to comment by SnooHesitations8849 in [D] Choosing Cloud vs local hardware for training LLMs. What's best for a small research group? by PK_thundr

Their pricing is definitely much better than AWS and google cloud, unfortunately they don't seem to be HIPAA compliant or this feature is not advertised.

PK_thundr OP t1_jc9ikiv wrote on March 15, 2023 at 6:53 AM

Reply to comment by Disastrous_Elk_6375 in [D] Choosing Cloud vs local hardware for training LLMs. What's best for a small research group? by PK_thundr

I'm aware of this article, my question is more about whether it's better to build our own server or to use existing cloud providers

PK_thundr t1_j7nz7b2 wrote on February 8, 2023 at 4:03 AM

Reply to comment by buzzbuzzimafuzz in [N] Microsoft announces new "next-generation" LLM, will be integrated with Bing and Edge by currentscurrents

Are there any good examples/tutorials/papers about prompt engineering attacks you'd recommend to start with?

PK_thundr t1_j24int4 wrote on December 29, 2022 at 4:37 PM

Reply to [D] SOTA Multiclass Model Calibration by arcxtriy

There are a couple of approaches you can try

Temperature scaling https://arxiv.org/abs/1706.04599
One-vs-rest classification per class. Choose the one-vs-rest prob for each class and then normalize. You can choose whichever method you'd like here (isotonic, platt, beta calibration)