These summaries made possible by MosaicML. If you find them helpful, the best way to thank me is by checking out + starring Composer, our open-source library for faster model training. ⭐ Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
2022-5-15: T-Few, Task scaling, Gato
2022-5-15: T-Few, Task scaling, Gato
2022-5-15: T-Few, Task scaling, Gato
These summaries made possible by MosaicML. If you find them helpful, the best way to thank me is by checking out + starring Composer, our open-source library for faster model training. ⭐ Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning