Language Models
BLOOMZ
Introduced by Muennighoff et al. in Crosslingual Generalization through Multitask FinetuningBLOOMZ is a Multitask prompted finetuning (MTF) variant of BLOOM.
Source: Crosslingual Generalization through Multitask Finetuning
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Language Modelling | 6 | 14.29% |
| Large Language Model | 3 | 7.14% |
| Machine Translation | 3 | 7.14% |
| Translation | 3 | 7.14% |
| Zero-Shot Learning | 3 | 7.14% |
| Question Answering | 2 | 4.76% |
| Multi-task Language Understanding | 2 | 4.76% |
| Few-Shot Learning | 2 | 4.76% |
| Instruction Following | 2 | 4.76% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
