51:39

Start a token classification project on the Hugging Face Hub with Argilla, GliNER and NuExtract LLM

49:15

Start a text classification project on the Hugging Face Hub with Argilla and SetFit

44:03

Argilla Community Everything image: from fine-tuning CLIP models to synthetic image datasets

00:59

What is distilabel? A brief feature overview.

31:19

Generating and cleaning a preference dataset for DPO / ORPO with LLMs and distilabel

45:54

Optimizing RAG Pipelines by fine-tuning custom embedding models on synthetic data with ZenML

00:32

ZenML a way to streamline your complex projects with ease

00:32

cosine similarity as proxy for quality of sentence pair data

00:39

optimizing RAG by choosing the right model

00:36

model pooling for diverse synthetic data generation

30:12

Ellamind on synthetic data generation with distilabel for pipelining and LLM finetuning

04:45

Scaling Synthetic Data Creation with 1 Billion Personas | PersonaHub Dataset Explained

50:02

Javier Alonso on lead optimisation at Idealista

06:29

Exploring the PRISM Dataset: Conversations, Insights, and Model Performance

39:06

Ben Burtenshaw on the Argilla 2.0 SDK refactor

01:02:59

Louis Guitton on NER with Argilla

54:39

Weights & Biases on Wandbot

32:18

Datamaran on using Argilla in MLOps workflows for ESG governance

39:00

Understanding and reproducing DEITA with MantisNLP using distilabel=1.0.0

38:11

Elad Levi on AutoPrompt and intent-based prompt calibration and prompt engineering

55:51

Daniel van Strien on the Hugging Face hub and synthetic creation of a DPO dataset for Haiku

51:10

Seth Levine on the usage of SetFit and BerTopic for unsupervised clustering

45:40

Red Cross 510 on NLP for good with SetFit for chat message classification

49:29

Prolific on workload distribution, LLM preference data annotation and Phi2 fine-tune Colab

01:03:58

Pitching AI to your boss, SLMs vs LLMs and contributing to open source projects

43:59

Kickstart NLP with synthetic data and running LLMs on Google Colab using vLLM

36:03

How we cleaned OpenBMB UltraFeedback and Notus

36:40

An introduction to distilabel for AI feedback and synthetic data generation

46:16

Deploy Argilla on a private Hugging Face space and how to contribute to open source

45:29

Deploy Argilla on a public Hugging Face space and create multi-modal datasets

02:17

Meet Argilla

00:20

Collect human feedback for evaluating fine-tuned LLMs

00:20

Collect human feedback for fine-tuning ChatGPT models

07:27

Tutorial: Deploy Argilla on Hugging Face and create your first FeebackDataset

21:16

Tutorial: Curate an instruction dataset for supervised fine-tuning

11:45

Guía práctica: ¿Cómo mejorar los datos de Alpaca para entrenar un LLM en Español?

03:00

Argilla: 3 min walkthrough