AI & ML interests

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Aurelien-Morgan 
posted an update about 15 hours ago
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@retrain-pipelines v0.2.0 is out !
I'm at Station F at My booth with GOSIM Paris 2026 today & tomorrow.
Come meet me for a live in-person demo and a chat !
Aurelien-Morgan 
posted an update 23 days ago
Aurelien-Morgan 
posted an update 5 months ago
Saurav2023 
published a Space 8 months ago
chansung 
posted an update 10 months ago
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4776
YAML engineering becomes more and more important than ever from infra provisioning to model training (recipes).

Here, I built a simple editor first for @dstackai , and I will share the live endpoint this week. Let me know what you think about this approach.

Based on this approach, if people think this is useful, I am going to do the same thing for the LLM training recipes for popular frameworks such as Hugging Face open-r1, Axolotl, and so on. Let me hear.
Aurelien-Morgan 
posted an update 12 months ago
Aurelien-Morgan 
posted an update about 1 year ago
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3161
The Almighty function-caller

How would you like to build smart GenAi infrastructure ?
Give extensive tools memory to your edge agentic system,
And optimize the resources it takes to run yet a high-performance set of agents ?

We came up with a novel approach to function-calling at scale for smart companies and corporate-grade use-cases.

Read our full-fledged blog article on this here on Hugging Face :
https://huggingface.co/blog/Aurelien-Morgan/the-almighty-function-caller
Aurelien-Morgan 
posted an update about 1 year ago
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retrain-pipelines 0.1.2 finally dropped. It comes with a hot Hugging Face Hub integration. Go check it out. We have 2 articles about it coming up. One already fully written so, be on the lookout !
@retrain-pipelines

Also, I'll be volunteering at GOSIM AI Paris 2025. If you're interested in chatting, hmu.
Aurelien-Morgan 
posted an update about 1 year ago
chansung 
posted an update about 1 year ago
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3959
simple guide on the recipe for GRPO on Open-R1 which is built on top of TRL

I think FastAPI wrapper of vLLM with WeightSyncWorker is pretty cool feature. Also, we have many predefined reward functions out of the box!
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