34 lines
1.3 KiB
Markdown
34 lines
1.3 KiB
Markdown
|
---
|
||
|
|
license: cc-by-nc-4.0
|
||
|
|
pipeline_tag: time-series-forecasting
|
||
|
|
tags:
|
||
|
|
- time-series forecasting
|
||
|
|
- expert selection
|
||
|
|
- LLM
|
||
|
|
---
|
||
|
|
|
||
|
|
# MoiraiAgent - Expert-selection Tool
|
||
|
|
|
||
|
|
Top-performing forecasters exhibit unique advantages when applied to time series from specific domains or with particular patterns.
|
||
|
|
MoiraiAgent can select the best prediction from a set of candidates. Expert-selection by MoiraiAgent boosts the time-series foreacsting performance significantly. For sample usage please check the [code](https://github.com/SalesforceAIResearch/uni2ts/tree/main/project/moirai-agent).
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
## Citation
|
||
|
|
|
||
|
|
```markdown
|
||
|
|
https://www.salesforce.com/blog/moiraiagent/
|
||
|
|
```
|
||
|
|
|
||
|
|
## Ethical Considerations
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
This release is for research purposes only in support of an academic paper.
|
||
|
|
Our models, datasets, and code are not specifically designed or evaluated for all downstream purposes.
|
||
|
|
We strongly recommend users evaluate and address potential concerns related to accuracy, safety, and fairness before deploying this model.
|
||
|
|
We encourage users to consider the common limitations of AI, comply with applicable laws,
|
||
|
|
and leverage best practices when selecting use cases, particularly for high-risk scenarios where errors or misuse could significantly
|
||
|
|
impact people's lives, rights, or safety. For further guidance on use cases, refer to our AUP and AI AUP.
|