# argilla

Published articles for argilla.

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## Introducing the Synthetic Data Generator - Build Datasets with Natural Language

DevFeed: [Introducing the Synthetic Data Generator - Build Datasets with Natural Language](<https://devfeed.tech/articles/introducing-the-synthetic-data-generator-build-datasets-with-natural-language-7497.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/synthetic-data-generator>)

Author: David Berenstein; Sara Han Díaz; Leire Aguirre; Daniel Vila; Ame Vi; ben burtenshaw

Published: 2024-12-16T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [synthetic-data](<https://devfeed.tech/topics/synthetic-data.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [hugging face](<https://devfeed.tech/topics/hugging-face.md>), [argilla](<https://devfeed.tech/topics/argilla.md>), [distilabel](<https://devfeed.tech/topics/distilabel.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Fine-tuning](<https://devfeed.tech/topics/fine-tuning.md>), [API](<https://devfeed.tech/topics/api.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [api](<https://devfeed.tech/tags/api.md>), [argilla](<https://devfeed.tech/tags/argilla.md>), [data](<https://devfeed.tech/tags/data.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [distilabel](<https://devfeed.tech/tags/distilabel.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [llm](<https://devfeed.tech/tags/llm.md>), [rag](<https://devfeed.tech/tags/rag.md>), [synthetic](<https://devfeed.tech/tags/synthetic.md>), [synthetic-data](<https://devfeed.tech/tags/synthetic-data.md>)

### AI overview

Hugging Face introduces a Synthetic Data Generator that creates text classification and chat datasets from natural-language descriptions. The tool uses distilabel and the Hugging Face text-generation API, supports configurable models and providers, and can upload generated datasets after authentication.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.

## Open Preference Dataset for Text-to-Image Generation by the 🤗 Community

DevFeed: [Open Preference Dataset for Text-to-Image Generation by the 🤗 Community](<https://devfeed.tech/articles/open-preference-dataset-for-text-to-image-generation-by-the-community-7274.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/image-preferences>)

Author: David Berenstein; ben burtenshaw; Daniel Vila; Daniel van Strien; Sayak Paul; Ame Vi; Linoy Tsaban

Published: 2024-12-09T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Open Source Models & Datasets](<https://devfeed.tech/topics/open-source-models-datasets.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [Synthetic Data Generation](<https://devfeed.tech/topics/synthetic-data-generation.md>), [flux](<https://devfeed.tech/topics/flux.md>), [stable-diffusion](<https://devfeed.tech/topics/stable-diffusion.md>), [argilla](<https://devfeed.tech/topics/argilla.md>), [distilabel](<https://devfeed.tech/topics/distilabel.md>), [data observability](<https://devfeed.tech/topics/data-observability.md>), [GitHub](<https://devfeed.tech/topics/github.md>), [hugging face](<https://devfeed.tech/topics/hugging-face.md>)

Tags: [argilla](<https://devfeed.tech/tags/argilla.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [data](<https://devfeed.tech/tags/data.md>), [data-is-better-together](<https://devfeed.tech/tags/data-is-better-together.md>), [data-quality](<https://devfeed.tech/tags/data-quality.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [distilabel](<https://devfeed.tech/tags/distilabel.md>), [flux](<https://devfeed.tech/tags/flux.md>), [generation](<https://devfeed.tech/tags/generation.md>), [github](<https://devfeed.tech/tags/github.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [image](<https://devfeed.tech/tags/image.md>), [open](<https://devfeed.tech/tags/open.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [stable-diffusion](<https://devfeed.tech/tags/stable-diffusion.md>), [synthetic-data](<https://devfeed.tech/tags/synthetic-data.md>), [synthetic-data-generation](<https://devfeed.tech/tags/synthetic-data-generation.md>), [text-to-image](<https://devfeed.tech/tags/text-to-image.md>)

### AI overview

The article describes an open community effort to create an image-preference dataset for text-to-image generation. It covers prompt preparation with distilabel, synthetic data generation, image generation with Flux and Stable Diffusion, and filtering with text- and image-based classifiers plus manual review. The resulting dataset and related code are available through the Hugging Face Hub and GitHub.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.

## Investing in Performance: Fine-tune small models with LLM insights - a CFM case study

DevFeed: [Investing in Performance: Fine-tune small models with LLM insights - a CFM case study](<https://devfeed.tech/articles/investing-in-performance-fine-tune-small-models-with-llm-insights-a-cfm-case-study-7139.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/cfm-case-study>)

Author: Oussama Ahouzi; champonnois; Jérémy L'Hour; Pirashanth Ratnamogan; Bérengère Patault; Morgane Goibert

Published: 2024-12-03T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Fine-tuning](<https://devfeed.tech/topics/fine-tuning.md>), [inference-endpoints](<https://devfeed.tech/topics/inference-endpoints.md>), [hugging face](<https://devfeed.tech/topics/hugging-face.md>), [argilla](<https://devfeed.tech/topics/argilla.md>), [llama](<https://devfeed.tech/topics/llama.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [AI, ML & Data Engineering](<https://devfeed.tech/topics/ai-ml-data-engineering.md>), [Finance](<https://devfeed.tech/topics/finance.md>), [Meta](<https://devfeed.tech/topics/meta.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [Scalability](<https://devfeed.tech/topics/scalability.md>)

Tags: [argilla](<https://devfeed.tech/tags/argilla.md>), [case-studies](<https://devfeed.tech/tags/case-studies.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [expert-support](<https://devfeed.tech/tags/expert-support.md>), [expert-support-program](<https://devfeed.tech/tags/expert-support-program.md>), [financial-applications](<https://devfeed.tech/tags/financial-applications.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [inference-endpoints](<https://devfeed.tech/tags/inference-endpoints.md>), [llm](<https://devfeed.tech/tags/llm.md>), [models](<https://devfeed.tech/tags/models.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [scalability](<https://devfeed.tech/tags/scalability.md>)

### AI overview

A case study of Capital Fund Management's use of open-source LLMs to improve financial named entity recognition. It covers LLM-assisted labeling, fine-tuning smaller models with curated datasets, and deployment on Hugging Face Inference Endpoints to balance accuracy, cost, and scalability.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.

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

DevFeed: [Argilla 2.4: Easily Build Fine-Tuning and Evaluation Datasets on the Hub -- No Code Required](<https://devfeed.tech/articles/argilla-2-4-easily-build-fine-tuning-and-evaluation-datasets-on-the-hub-no-code-required-7103.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/argilla-ui-hub>)

Author: Natalia Elvira; ben burtenshaw; Daniel Vila

Published: 2024-11-04T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [argilla](<https://devfeed.tech/topics/argilla.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [hugging face](<https://devfeed.tech/topics/hugging-face.md>), [Fine-tuning](<https://devfeed.tech/topics/fine-tuning.md>), [human feedback](<https://devfeed.tech/topics/human-feedback.md>), [LLM evaluation / benchmarking](<https://devfeed.tech/topics/llm-evaluation-benchmarking.md>), [spaces](<https://devfeed.tech/topics/spaces.md>), [CSV](<https://devfeed.tech/topics/csv.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [argilla](<https://devfeed.tech/tags/argilla.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [data](<https://devfeed.tech/tags/data.md>), [dataset](<https://devfeed.tech/tags/dataset.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [evaluation](<https://devfeed.tech/tags/evaluation.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [github](<https://devfeed.tech/tags/github.md>), [hub](<https://devfeed.tech/tags/hub.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [human-feedback](<https://devfeed.tech/tags/human-feedback.md>), [oauth](<https://devfeed.tech/tags/oauth.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [space](<https://devfeed.tech/tags/space.md>), [spaces](<https://devfeed.tech/tags/spaces.md>)

### AI overview

Argilla 2.4 introduces a no-code workflow for importing public Hugging Face Hub datasets into Argilla Spaces. Users can collect human feedback, annotate or curate datasets, and prepare them for fine-tuning or model evaluation, with Hugging Face OAuth supporting community contributions or restricted collaboration.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.

## How we leveraged distilabel to create an Argilla 2.0 Chatbot

DevFeed: [How we leveraged distilabel to create an Argilla 2.0 Chatbot](<https://devfeed.tech/articles/how-we-leveraged-distilabel-to-create-an-argilla-2-0-chatbot-7101.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/argilla-chatbot>)

Author: Agustín Piqueres Lajarín; Gabriel Martín Blázquez; Sara Han Díaz; Omar Sanseviero; Daniel Vila

Published: 2024-07-16T00:00:00Z

Content type: tutorial

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [argilla](<https://devfeed.tech/topics/argilla.md>), [Chat Bot](<https://devfeed.tech/topics/chatbot.md>), [distilabel](<https://devfeed.tech/topics/distilabel.md>), [hugging face](<https://devfeed.tech/topics/hugging-face.md>), [Retrieval Augmented Generation (RAG)](<https://devfeed.tech/topics/retrieval-augmented-generation-rag.md>), [Documentation](<https://devfeed.tech/topics/documentation.md>), [LangChain](<https://devfeed.tech/topics/langchain.md>), [Markdown](<https://devfeed.tech/topics/markdown.md>), [Python](<https://devfeed.tech/topics/python.md>), [dataset](<https://devfeed.tech/topics/dataset.md>), [GitHub](<https://devfeed.tech/topics/github.md>)

Tags: [apps](<https://devfeed.tech/tags/apps.md>), [argilla](<https://devfeed.tech/tags/argilla.md>), [chat](<https://devfeed.tech/tags/chat.md>), [data](<https://devfeed.tech/tags/data.md>), [dataset](<https://devfeed.tech/tags/dataset.md>), [distilabel](<https://devfeed.tech/tags/distilabel.md>), [docs](<https://devfeed.tech/tags/docs.md>), [documentation](<https://devfeed.tech/tags/documentation.md>), [embedding](<https://devfeed.tech/tags/embedding.md>), [evaluation](<https://devfeed.tech/tags/evaluation.md>), [github](<https://devfeed.tech/tags/github.md>), [guide](<https://devfeed.tech/tags/guide.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [langchain](<https://devfeed.tech/tags/langchain.md>), [libraries](<https://devfeed.tech/tags/libraries.md>), [markdown](<https://devfeed.tech/tags/markdown.md>), [nlp](<https://devfeed.tech/tags/nlp.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [python](<https://devfeed.tech/tags/python.md>), [rag](<https://devfeed.tech/tags/rag.md>), [spaces](<https://devfeed.tech/tags/spaces.md>), [synthetic](<https://devfeed.tech/tags/synthetic.md>)

### AI overview

A tutorial on building a Chatbot for Argilla 2.0 that answers questions about technical documentation. It uses distilabel to create a synthetic dataset, fine-tunes a domain-specific embedding model, stores documentation in a vector database for retrieval, and deploys the Chatbot to a Hugging Face Space for interaction and continuous evaluation.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.