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 updated a Space 1 day ago

argilla/synthetic-data-generator

sdiazlor updated a Space 1 day ago

argilla/synthetic-data-generator

dvilasuero published a Space 2 days ago

argilla/testing-demo

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argilla's activity

davidberenstein1957

posted an update about 23 hours ago

Post

553

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 1 day ago

Running

362

🧬

Synthetic Data Generator

Build datasets using natural language

nataliaElv

posted an update 1 day ago

Post

748

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 1 day ago

Post

513

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

sdiazlor

updated a Space 1 day ago

Running

362

🧬

Synthetic Data Generator

Build datasets using natural language

dvilasuero

published a Space 2 days ago

Running

✍

Testing Demo

burtenshaw

posted an update 3 days ago

Post

22716

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 4 days ago

Post

2044

🔦 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 9 days ago

Post

522

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

dvilasuero

updated a Space 10 days ago

Sleeping

🔥

Submission Template

davidberenstein1957

updated a collection 11 days ago

Synthetic Data Generator

Collection

A collection of tools and datasets related to no-code the Synthetic Data Generation. • 17 items • Updated 11 days ago • 6

davidberenstein1957

updated a model 11 days ago

argilla/ModernBERT-domain-classifier

Text Classification • Updated 11 days ago • 115 • 5

davidberenstein1957

posted an update 14 days ago

Post

1932

Fine-tune a SmolLM on domain-specific synthetic data from a LLM

Blog: https://huggingface.co/blog/davidberenstein1957/fine-tune-a-smollm-on-synthetic-data-of-llm

1 reply

davidberenstein1957

updated a collection 15 days ago

Synthetic Data Generator

Collection

A collection of tools and datasets related to no-code the Synthetic Data Generation. • 17 items • Updated 11 days ago • 6

davidberenstein1957

updated a model 15 days ago

argilla/SmolLM2-360M-synthetic-concise-reasoning

Text Generation • Updated 15 days ago • 233

davidberenstein1957

updated a dataset 15 days ago

argilla/synthetic-concise-reasoning-sft-filtered

Viewer • Updated 15 days ago • 4.13k • 110 • 3

davidberenstein1957

updated a dataset 18 days ago

argilla/synthetic-concise-reasoning-sft

Viewer • Updated 18 days ago • 5k • 62

davidberenstein1957

updated a dataset 19 days ago

argilla/synthetic-concise-reasoning

Viewer • Updated 19 days ago • 10 • 28 • 1

davidberenstein1957

posted an update 19 days ago

Post

1990

Fine-tuning ModernBERT for text classification using synthetic data generation

From prompt to model in 3 steps.
1 dataset description
20 minutes of generating
60 minutes of fine-tuning on my Macbook Pro

Tutorial: https://nbsanity.com/static/552eb50cbd91bedb4e5b73fddca2664a/fine-tune-modernbert-classifier.html

AI & ML interests

Recent Activity

Team members 13

argilla's activity

Synthetic Data Generator

Synthetic Data Generator

Testing Demo

Submission Template