On Demand Videos

• From Vibes to Validation: How To Evaluate LLMs and Agents

  Join us for a live webinar on evaluating LLMs and agentic systems, with a practical end-to-end framework that shows how to combine qualitative review, structured human evaluation, and benchmarks to measure what matters in production.

• Building Practical AI Evaluation Workflows

  See how teams are making AI evaluation measurable and meaningful. You’ll learn to define benchmarks, capture expert input, and build evaluation workflows that make your AI systems auditable, compliant, and ready for scale.

• Everything we Shipped in 2025 & What’s Next!

  Join the Label Studio product team for a fast-paced tour of this year’s biggest releases (including a few hidden gems you may have missed 👀)!
  
  

• How to Build Flexible, Custom Labeling Interfaces with Plugins

  Learn how Label Studio Plugins let you import external libraries, integrate services, automate actions, and build complex labeling logic in Label Studio with just a bit of JavaScript.

• Speed Up Your Labeling With The Label Studio ML Backend (feat. YOLO)

  Learn how to use the ML Backend in Label Studio to speed up your labeling and improve time-to-insight using models like YOLO.

• Generating Synthetic Data with Prompts in Label Studio

  Use Prompts in Label Studio to generate synthetic data for training AI models, including RAG systems, faster and more efficiently.

• Evaluating and Comparing LLMs with Prompts in Label Studio

  Discover how to compare LLMs in Label Studio to select the best model for your data labeling tasks.

• Seven RAG Failures and How to Solve Them

  Like any AI, RAG can fail in a number of ways, which can impact your business. How do you know where your RAG is failing, and more importantly, how can you stop it before it creates problems?

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• Pre-Labeling Your Data with Prompts in Label Studio

  Learn how to use Prompts in Label Studio to refine and automate pre-labeling with LLMs for more efficient data annotation.

• Evaluating LLM-Based Chat Systems for Continuous Improvement

  Learn how to effectively evaluate multi-turn chats from your Gen AI-based chat system to unlock better performance and uncover potential issues.

• Integrating Label Studio with IBM WatsonX

  Watch this short demo to integrate Label Studio Enterprise and IBM WatsonX, allowing you to access to the WatsonX.ai models and upload your labeled data into your WatsonX.data account.

• NLP Autolabeling with Label Studio

  Join us for a live workshop to learn how you can easily autolabel NLP projects with Label Studio.

• Monitor Models in Production with Label Studio

  Implement a recurring HITL model evaluation workflow with Label Studio to keep a pulse on what’s really happening with your GenAI/ML models in production.

• Fine-Tuning Llama 3: Adapting LLMs for Specialized Domains

  Learn how to develop high-quality domain-specific Q&A datasets for model fine-tuning.

• Fine-Tuning Enterprise RAG Knowledge Bases with Label Studio, ChatGPT, and Ragas

  Learn how to evaluate and fine-tune an Enterprise RAG Knowledge Base using Label Studio, ChatGPT, LangChain, and Ragas metrics.

• Automate Your Data Labeling With GenAI

  Learn how to reduce your labeling costs by 5x while quadrupling labeling throughput with a high degree of accuracy using GenAI.

• AI Evaluation: Ensuring Mission-Critical Trust & Safety

  Learn why strong model evaluation workflows are essential for building reliable and trustworthy GenAI applications.

• Build Accurate Datasets With Label Studio Automated Quality Workflows

  Whether you’re fine-tuning an LLM or building your own predictive model from scratch, your model is only as powerful and accurate as the quality of the data that you feed into it. That’s why we built Label Studio - to make getting quality data as efficient as possible.

• Building Your Annotation Team for the Data Design Lifecycle

  Aaron Schliem, Sr. Solutions Architect at Welocalize, will talk us through the data design lifecycle - from defining the problem you’re trying to solve with data to building your data pipeline - and how to build out your annotation team within that context.

• Labeling Audio Data With Label Studio

  In this guide, you'll learn how to set up an audio labeling project in Label Studio.

• How Yext Increased Labeling Efficiency 2-4x

  Learn how Yext, a company that provides a suite of solutions that help organizations manage their online presence and deliver exceptional digital experiences, was able to more than double the number of queries their team was labeling every day while virtually eliminating data waste resulting from poor annotation quality.

• How LSE Protects Your Data

  In this mini-webinar, Heartex Sales Engineer Bernard Lawes will briefly walk you through the many ways that Label Studio Enterprise keeps your data safe and secure.

• Getting More From Your Data Labeling Operations

  Quality data labeling, model training and model fine-tuning is critical to achieving AI/ML success. In this webinar, Bernard Lawes will talk through some of the issues that prevent data labeling programs from achieving their goals, and ways to overcome these obstacles.