Tutorials
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Monitor & Evaluate Models in Production with Label Studio
Understanding how your production model is performing is the most crucial yet most challenging step in the Machine Learning pipeline. This tutorial gives you an easy way to keep a pulse on what is really happening in production.
Micaela Kaplan
December 4, 2024
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OpenAI Structured Outputs with Label Studio
OpenAI’s new Structured Outputs feature allows you to ensure outputs conform to a defined JSON structure. In this blog, we’ll explore how to leverage this feature for various labeling tasks.
Jimmy Whitaker
September 24, 2024
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Fine-Tuning Llama 3: Enhancing Accuracy in Medical Q&A With LLMs
In this article, we want to demonstrate a method of curating large datasets to reduce but not remove the cost for curating a high quality medical Q&A dataset in Label Studio and fine-tuning Llama 3 on this data.
Jimmy Whitaker
June 11, 2024
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Improving RAG Document Search Quality with Cohere Re-ranking
This article is part of a longer series that will teach you how to develop and optimize a question answering (QA) system using Retrieval-Augmented Generation (RAG) architecture. In this tutorial, we are going to show you how to create a generator that builds responses based on those documents.
Max Tkachenko
June 6, 2024
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Optimizing RAG Pipelines with Label Studio
In this introduction to our tutorial series on optimizing RAG pipelines, we'll introduce an example question answering (QA) system leveraging a Retrieval-Augmented Generation (RAG) architecture and outline three methods for optimizing your RAG pipeline utilizing Label Studio.
Max Tkachenko
May 23, 2024
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Interactive OCR with Tesseract and Label Studio
Interactively Label Image-to-Text Datasets with Label Studio and Tesseract OCR.
Chris Hoge
January 29, 2024
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Using Text Prompts for Image Annotation with Grounding DINO and Label Studio
Pair Grounding Dino or Grounding SAM models with Label Studio to automatically perform object identification and image segmentation tasks using text labels.
Chris Hoge
December 21, 2023
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Label Studio x Segment Anything in Hugging Face Spaces
Learn how to build an image annotation workflow using Label Studio and Segment Anything in Hugging Face Spaces!
Chris Hoge
November 21, 2023
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Five Open Dataset Resources For Fine-Tuning and Training AI Models
Dive into the top 5 open dataset resources that could be the key to your next project's success
Label Studio Team
September 26, 2023
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How to use our Generative AI Templates
With the latest 1.8 release — we launched the all-new Generative AI template library — a set of templates designed for you to work with foundation models and adapt them to your needs, right within Label Studio. Get started with fine-tuning models such as Llama 2, GPT-4, Whisper, Alpaca, and PaLM 2 among others.
Erin Mikail Staples
July 31, 2023
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Data Labeling with GPT-4 in Label Studio: ML Backend Integration
Learn how to automate labeling tasks using GPT-4 with the Label Studio Machine Learning backend.
Jimmy Whitaker
July 12, 2023
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Introduction to Machine Learning with Label Studio
Learn the background knowledge and steps required to integrate Machine Learning models into your Label Studio workflow.
Chris Hoge
May 24, 2023
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Zero to One: Getting Started with Label Studio
Brand new to Label Studio? We’ve created a jam-packed new tutorial with the most important information to get you up and running.
Erin Mikail Staples
January 30, 2023
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Getting Started with Sentiment Analysis
Sentiment analysis provides consistent, data-driven insights for businesses looking to better understand their users and products. Here’s how to get started.
Label Studio Team
July 11, 2022
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From raw data to a trained model: Automate your ML pipeline with Label Studio & Amazon SageMaker
Use webhooks from open source data labeling software Label Studio to seamlessly integrate your Amazon SageMaker model development workflow for your machine learning and data science projects using AWS Lambda, Amazon S3, and public domain bird images.
Label Studio Team
August 26, 2021
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Quickly Create Datasets for Training YOLO Object Detection with Label Studio
Use open source data labeling software Label Studio to quickly create YOLO v3 and v4 compatible datasets for training purposes and image labels for image object detection data science and machine learning projects.
Label Studio Team
August 23, 2021
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Improve OCR quality for receipt processing with Tesseract and Label Studio
Use open source data labeling software Label Studio to improve optical character recognition (OCR) results for receipts, invoices, menus, signs, and other important images processed with Tesseract and Python.
Label Studio Team
July 13, 2021
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Improve Amazon Transcribe Audio Transcriptions with Label Studio
Use open source data labeling software Label Studio to improve audio transcriptions of customer support calls, video conference meetings, and other audio recordings.
Label Studio Team
May 10, 2021
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Evaluating Named Entity Recognition parsers with spaCy and Label Studio
Use Label Studio to evaluate named entity recognition parsers like spaCy and revise predictions by annotating a gold standard dataset for your data science and machine learning projects.
Label Studio Team
May 3, 2021
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How to fine-tune BERT to classify your Slack chats without coding
Nikolai Liubimov
February 18, 2020