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The feedback feature allows the user to send feedback regarding the ML feature to the backend server. The users can press the flag icon to report false classifications by the model.
After the twit…
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OGBV isn't a commonly understood term. We can consider a message that accounts for the high rate of false negatives.
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We anticipate deploying some high memory (4GB) ML models for the ogbv project. These machines will be used to deploy models for inference tasks and not used to train the ML models. They will be expose…
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- [x] #82
- [x] #83
- [x] #84
- [x] #85
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- [x] Uli Website does not have a favicon
- [x] Don't use the bold variant for the main font
- [x] Find out an acceptable doable compromise for the CTA buttons
- [ ] > Implement the font change for "M…
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We need to write a blog (~800 words) on the persistance of oGBV from one source (i.e individual) online.
- [x] Secondary research on the issue: references so far are-
> https://www.orfonline.org/exp…
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### Name
Denny George
### GitHub Handle
@dennyabrain
### Project Name
Uli
### Project Repo
https://github.com/tattle-made/Uli
### Stream Date
- [x] Yes
- [ ] Not yet
### Dates
07-05-2024
#…
csmlo updated
4 months ago
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This is the ogbv-ml-rest model loaded on hugging face - https://huggingface.co/tattle-admin/july22-xlmtwtroberta-da-multi
The model is automatically loaded in a hosted inference API, where users ca…
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We had a working version of this feature a few sprints back. As envisioned then as we update to new models, we should just have to change the model URL and rest should follow automatically.
The sco…