Argilla

company

https://www.argilla.io/

argilla_io

argilla-io

Activity Feed

AI & ML interests

LLMs, NLP, Alignment, DPO, RLHF, data labeling, text-classification, text-generation, token-classification

Recent Activity

davidberenstein1957 new activity 6 days ago

argilla/synthetic-data-generator:Error when I try to duplicate

frascuchon updated a Space 6 days ago

argilla/argilla-template-space

sdiazlor updated a Space 7 days ago

argilla/synthetic-data-generator

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argilla's activity

davidberenstein1957

posted an update about 10 hours ago

Post

644

Let's uncover the post-training dataset from DeepSeek-R1 with Magpie!

Pass pre-query tokens <｜begin▁of▁sentence｜>User: , let the model generate the rest.

We can get realistic examples!

Gist: https://gist.github.com/davidberenstein1957/3f20046ce57395a6aba13f8b4e956b59

2 replies

burtenshaw

posted an update about 10 hours ago

Post

516

Manic few days in open source AI, with game changing development all over the place. Here's a round up of the resources:

- The science team at @huggingface reproduced and open source the seek r1. https://github.com/huggingface/open-r1
- @qwen released a series of models with 1 million token context! https://qwenlm.github.io/blog/qwen2.5-1m/
- SmolVLM got even smaller with completely new variants at 256m and 500m https://huggingface.co/blog/smolervlm

There's so much you could do with these developments. Especially combining them together into agentic applications or fine-tuning them on your use case.

burtenshaw

posted an update 3 days ago

Post

493

Hey 👋

I'm helping out on some community research to learn about the AI community. If you want to join in the conversation, head over here where I started a community discussion on the most influential model since BERT.

OSAIResearchCommunity/README#2

burtenshaw

posted an update 3 days ago

Post

1304

📣 Teachers and Students! Here's a handy quiz app if you're preparing your own study material.

TLDR, It's a quiz that uses a dataset to make questions and save answers

Here's how it works:

- make a dataset of multiple choice questions
- duplicate the space add set the dataset repo
- log in and do the quiz
- submit the questions to create a new dataset

I made this to get ready for the agents course, but I hope it's useful for you projects too!

quiz app burtenshaw/dataset_quiz

dataset with questions burtenshaw/exam_questions

agents course we're working on https://huggingface.co/agents-course

burtenshaw

posted an update 4 days ago

Post

1959

AI was built on side projects!

burtenshaw

posted an update 5 days ago

Post

3370

🚧 Work in Progress! 🚧

👷‍♀️ We're working hard on getting the official agents course ready for the 50,000 students that have signed up.

If you want to contribute to the discussion, I started these community posts. Looking forward to hearing from you:

- smolagents unit in the agents course - agents-course/README#7
- LlamaIndex Unit in the agents course - agents-course/README#6
- LangChain and LangGraph unit in the agents course - agents-course/README#5
- Real world use cases in the agents course - agents-course/README#8

davidberenstein1957

in argilla/synthetic-data-generator 6 days ago

Error when I try to duplicate

#18 opened about 1 month ago by

BlackMinstrel

frascuchon

updated a Space 6 days ago

Running on CPU Upgrade

✍

Argilla Space

davidberenstein1957

posted an update 6 days ago

Post

1828

The RAG's in the bag!

You can now use the Synthetic Data Generator with your own domain-specific seed data to generate a dataset for fine-tuning retrieval or reranking models.

GitHub: https://buff.ly/49IDSmd
Spaces: https://buff.ly/3Y1S99z
Blog: https://huggingface.co/blog/sdiazlor/fine-tune-modernbert-for-rag-with-synthetic-data

1 reply

sdiazlor

updated a Space 7 days ago

Running

376

🧬

Synthetic Data Generator

Build datasets using natural language

davidberenstein1957

updated a collection 7 days ago

Synthetic Data Generator

Collection

A collection of tools and datasets related to no-code the Synthetic Data Generation. • 19 items • Updated 7 days ago • 7

davidberenstein1957

posted an update 10 days ago

Post

1225

You can now use the "Synthetic Data Generator" at a much larger scale with your preferred inference engine: Ollama, vLLM, TGI, and serverless inference! 🔥

Install, configure, launch!

Space: argilla/synthetic-data-generator
Examples: https://github.com/argilla-io/synthetic-data-generator/tree/main/examples

davidberenstein1957

updated a Space 10 days ago

Running

376

🧬

Synthetic Data Generator

Build datasets using natural language

nataliaElv

posted an update 10 days ago

Post

1417

New chapter in the Hugging Face NLP course! 🤗 🚀

We've added a new chapter about the very basics of Argilla to the Hugging Face NLP course. Learn how to set up an Argilla instance, load & annotate datasets, and export them to the Hub.

Any feedback for improvements welcome!

https://huggingface.co/learn/nlp-course/chapter10

burtenshaw

posted an update 10 days ago

Post

1294

Playing with agents, and I reckon Gradio spaces make the perfect agent tools! So I wrote this guide using Gradio and smolagents:

https://huggingface.co/blog/burtenshaw/gradio-spaces-agent-tools

dvilasuero

published a Space 11 days ago

Running

✍

Testing Demo

burtenshaw

posted an update 12 days ago

Post

38160

We’re launching a FREE and CERTIFIED course on Agents!

We're thrilled to announce the launch of the Hugging Face Agents course on Learn! This interactive, certified course will guide you through building and deploying your own AI agents.

Here's what you'll learn:

- Understanding Agents: We'll break down the fundamentals of AI agents, showing you how they use LLMs to perceive their environment (observations), reason about it (thoughts), and take actions. Think of a smart assistant that can book appointments, answer emails, or even write code based on your instructions.
- Building with Frameworks: You'll dive into popular agent frameworks like LangChain, LlamaIndex and smolagents. These tools provide the building blocks for creating complex agent behaviors.
- Real-World Applications: See how agents are used in practice, from automating SQL queries to generating code and summarizing complex documents.
- Certification: Earn a certification by completing the course modules, implementing a use case, and passing a benchmark assessment. This proves your skills in building and deploying AI agents.
Audience

This course is designed for anyone interested in the future of AI. Whether you're a developer, data scientist, or simply curious about AI, this course will equip you with the knowledge and skills to build your own intelligent agents.

Enroll today and start building the next generation of AI agent applications!

https://bit.ly/hf-learn-agents

22 replies

davidberenstein1957

posted an update 13 days ago

Post

2094

🔦 What? The Hub as a vector search backend!

code: https://gist.github.com/davidberenstein1957/f0157a471ec59d9dd44ae6957f1d52ec
build on DuckDB: https://huggingface.co/docs/hub/en/datasets-duckdb

nataliaElv

posted an update 18 days ago

Post

543

Do you want to easily save annotations to a Dataset in the Hub?

In the last version of Argilla (v2.6.0), you can export your data directly from the UI to the Hub.

Check all the changes and update to the latest version: https://github.com/argilla-io/argilla/releases/tag/v2.6.0

AI & ML interests

Recent Activity

Team members 13

argilla's activity

Error when I try to duplicate

Argilla Space

Synthetic Data Generator

Synthetic Data Generator

Testing Demo