Implementing discriminative learning rate across model layers| Nikita Kozodoi
LoRA is one of the most widely used, parameter-efficient finetuning techniques for training custom LLMs. From saving memory with QLoRA to selecting the optimal LoRA settings, this article provides practical insights for those interested in applying it.| Lightning AI
I frequently reference a process called Reinforcement Learning with Human Feedback (RLHF) when discussing LLMs, whether in the research news or tutorials.| magazine.sebastianraschka.com
In the last couple of months, we have seen a lot of people and companies sharing and open-sourcing various kinds of LLMs and datasets, which is awesome.| magazine.sebastianraschka.com