Hi Chris & ML team,
Good to see LiftWing is finally becoming a reality. There are a few things
in the documentation that I would like to clarify.
1. In [1], the bot owner is encouraged to move to the revertrisk score.
However, in [2], it's explicitly mentioned that the model should not be
used for "Auto-removing edits that a user makes without another editor in
the loop". So, should bot owners currently reverting based on goodfaith and
damaging scores explore the new models? If so, do you have any suggestions
on how to automatically match thresholds between the old and new models?
2. I could not find any reference regarding the ores scores exposed through
other APIs (specifically the RC API [3]). Will those be available going
forward? Under which names?
3. Will it still be possible to (re-)train existing and new model for a
specific wiki? How and when?
Thanks,
Strainu
[1]
*rcprop=*title%7Ctimestamp%7Cids%7C*oresscores*
%7Ctags%7Cpatrolled&rcshow=unpatrolled&rclimit=50&rctype=edit%7Cnew%7Ccategorize
În joi, 3 aug. 2023 la 17:16, Chris Albon <calbon(a)wikimedia.org> a scris:
Hi everybody,
TL;DR We would like users of ORES models to migrate to our new open source
ML infrastructure, Lift Wing, within the next five months. We are available
to help you do that, from advice to making code commits. It is important to
note: All ML models currently accessible on ORES are also currently
accessible on Lift Wing.
As part of the Machine Learning Modernization Project (
https://www.mediawiki.org/wiki/Machine_Learning/Modernization), the
Machine Learning team has deployed a Wikimedia’s new machine learning
inference infrastructure, called Lift Wing (
https://wikitech.wikimedia.org/wiki/Machine_Learning/LiftWing). Lift Wing
brings a lot of new features such as support for GPU-based models, open
source LLM hosting, auto-scaling, stability, and ability to host a larger
number of models.
With the creation of Lift Wing, the team is turning its attention to
deprecating the current machine learning infrastructure, ORES. ORES served
us really well over the years, it was a successful project but it came
before radical changes in technology like Docker, Kubernetes and more
recently MLOps. The servers that run ORES are at the end of their planned
lifespan and so to save cost we are going to shut them down in early 2024.
We have outlined a deprecation path on Wikitech (
https://wikitech.wikimedia.org/wiki/ORES), please read the page if you
are a maintainer of a tool or code that uses the ORES endpoint
https://ores.wikimedia.org/). If you have any doubt or if you need
assistance in migrating to Lift Wing, feel free to contact the ML team via:
- Email: ml(a)wikimedia.org
- Phabricator: #Machine-Learning-Team tag
- IRC (Libera): #wikimedia-ml
The Machine Learning team is available to help projects migrate, from
offering advice to making code commits. We want to make this as easy as
possible for folks.
High Level timeline:
**By September 30th 2023: *Infrastructure powering the ORES API endpoint
will be migrated from ORES to Lift Wing. For users, the API endpoint will
remain the same, and most users won’t notice any change. Rather just the
backend services powering the endpoint will change.
Details: We'd like to add a DNS CNAME that points
ores.wikimedia.org to
ores-legacy.wikimedia.org, a new endpoint that offers a almost complete
replacement of the ORES API calling Lift Wing behind the scenes. In an
ideal world we'd migrate all tools to Lift Wing before decommissioning the
infrastructure behind
ores.wikimedia.org, but it turned out to be really
challenging so to avoid disrupting users we chose to implement a transition
layer/API.
To summarize, if you don't have time to migrate before September to Lift
Wing, your code/tool should work just fine on
ores-legacy.wikimedia.org
and you'll not have to change a line in your code thanks to the DNS CNAME.
The ores-legacy endpoint is not a 100% replacement for ores, we removed
some very old and not used features, so we highly recommend at least test
the new endpoint for your use case to avoid surprises when we'll make the
switch. In case you find anything weird, please report it to us using the
aforementioned channels.
**September to January: *We will be reaching out to every user of ORES we
can identify and working with them to make the migration process as easy as
possible.
**By January 2024: *If all goes well, we would like zero traffic on the
ORES API endpoint so we can turn off the ores-legacy API.
If you want more information about Lift Wing, please check
https://wikitech.wikimedia.org/wiki/Machine_Learning/LiftWing
Thanks in advance for the patience and the help!
Regards,
The Machine Learning Team
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