Model Type | auto-regressive, transformer |
|
Use Cases |
Areas: | |
Applications: | question answering, natural language understanding, reading comprehension, evaluating and mitigating biases and risks |
|
Primary Use Cases: | research on large language models |
|
Limitations: | Not for downstream applications without further risk evaluation, Potential for generating toxic or offensive content |
|
|
Supported Languages | bg (basic), ca (basic), cs (basic), da (basic), de (basic), en (advanced), es (basic), fr (basic), hr (basic), hu (basic), it (basic), nl (basic), pl (basic), pt (basic), ro (basic), ru (basic), sl (basic), sr (basic), sv (basic), uk (basic) |
|
Training Details |
Data Sources: | CCNet, C4, GitHub, Wikipedia, Books, ArXiv, Stack Exchange |
|
Model Architecture: | |
|
Responsible Ai Considerations |
Fairness: | Performance varies with language use; mostly English data. |
|
Transparency: | Evaluated using RAI datasets for various biases. |
|
Mitigation Strategies: | Web data filtered for Wikipedia proximity using language models. |
|
|