In AI, "fine-tuning" refers to adapting a pre-trained model to perform well on a specific task by training it on a targeted dataset, while "distillation" is a technique where a smaller model learns from a larger, more complex model to achieve similar or better performance, essentially transferring knowledge from a large model to a smaller one, making it more efficient for deployment on resource-constrained devices.
https://www.linkedin.com/pulse/distillation-vs-fine-tuning-large-language-models-when-raghav-sehgal-f7j3e/
https://www.restack.io/p/model-distillation-answer-vs-fine-tuning-cat-ai
In AI, "fine-tuning" refers to adapting a pre-trained model to perform well on a specific task by training it on a targeted dataset, while "distillation" is a technique where a smaller model learns from a larger, more complex model to achieve similar or better performance, essentially transferring knowledge from a large model to a smaller one, making it more efficient for deployment on resource-constrained devices.
川普这断供3个月（说先把国内受灾的人民安顿好），那些艾滋病马上就没药用了，诊所都关门了。
知道为社么美国国债不断上升了吧？
They just bribe to get the votes to keep their political career, no big difference from those political leaders in China