OPT-IML is a version of OPT fine-tuned on a large collection of 1500+ NLP tasks divided into various task categories.
Source: OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of GeneralizationPaper | Code | Results | Date | Stars |
---|
Task | Papers | Share |
---|---|---|
In-Context Learning | 1 | 16.67% |
Instruction Following | 1 | 16.67% |
Language Modelling | 1 | 16.67% |
Meta-Learning | 1 | 16.67% |
Natural Language Inference | 1 | 16.67% |
Question Answering | 1 | 16.67% |
Component | Type |
|
---|---|---|
🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |