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Daniel Vila

dvilasuero

https://argilla.io

AI & ML interests

RLHF, RLAIF, DPO, data, data, data

Recent Activity

Reacted to burtenshaw's post with ❤️ 1 day ago

For anyone looking to boost their LLM fine-tuning and alignment skills this decemeber. We're running this free and open course called smol course. It’s not big like Li Yin and @mlabonne, it’s just smol. 👷 It focuses on practical use cases, so if you’re working on something, bring it along. 👯‍♀️ It’s peer reviewed and open so you can discuss and get feedback. 🤘 If you’re already a smol pro, feel free to drop a star or issue. > > Part 1 starts now, and it’s on instruction tuning! https://github.com/huggingface/smol-course

Reacted to nataliaElv's post with 👀 1 day ago

We're so close to reaching 100 languages! Can you help us cover the remaining 200? Check if we're still looking for language leads for your language: https://huggingface.co/spaces/nataliaElv/language-leads-dashboard

liked a dataset 1 day ago

argilla/magpie-ultra-v1.0

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Articles

Let’s make a generation of amazing image generation models

9 days ago

• 33

Argilla 2.4: Easily Build Fine-Tuning and Evaluation datasets on the Hub — No Code Required

Nov 4

• 41

Ethics and Society Newsletter #6: Building Better AI: The Importance of Data Quality

Jun 24

• 33

🦙⚗️ Using Llama3 and distilabel to build fine-tuning datasets

Jun 4

• 73

Data is better together

Mar 4

• 8

Organizations

Posts 11

Post

1056

@Jesse-marqo and the Marqo team are killing it on the Hub: top embedding models and datasets!

Here's how to start using their new evaluation dataset for curation and labelling:

1. Deploy Argilla on Spaces: https://huggingface.co/new-space?template=argilla%2Fargilla-template-space
2. Load Marqo/amazon-products-eval with the UI wizard.
3. Start curating!

Post

679

Build datasets for AI on the Hugging Face Hub—10x easier than ever!

Today, I'm excited to share our biggest feature since we joined Hugging Face.

Here’s how it works:

1. Pick a dataset—upload your own or choose from 240K open datasets.
2. Paste the Hub dataset ID into Argilla and set up your labeling interface.
3. Share the URL with your team or the whole community!

And the best part? It’s:
- No code – no Python needed
- Integrated – all within the Hub
- Scalable – from solo labeling to 100s of contributors

I am incredibly proud of the team for shipping this after weeks of work and many quick iterations.

Let's make this sentence obsolete: "Everyone wants to do the model work, not the data work."

Read, share, and like the HF blog post:
https://huggingface.co/blog/argilla-ui-hub

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