Language Models
BLOOM
Introduced by Workshop et al. in BLOOM: A 176B-Parameter Open-Access Multilingual Language ModelBLOOM is a decoder-only Transformer language model that was trained on the ROOTS corpus, a dataset comprising hundreds of sources in 46 natural and 13 programming languages (59 in total).
Source: BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Language Modelling | 15 | 12.50% |
| Question Answering | 8 | 6.67% |
| Machine Translation | 5 | 4.17% |
| Quantization | 5 | 4.17% |
| Translation | 5 | 4.17% |
| Text Generation | 4 | 3.33% |
| Large Language Model | 4 | 3.33% |
| Benchmarking | 3 | 2.50% |
| Text Classification | 2 | 1.67% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
