Download to read offline
Uploaded bySri Ambati
H2O Label Genie Starter Track - Support Presentation
This is the support slide deck for H2O Label Genie Starter Course. Data labeling is one of the most critical and time-consuming steps in any AI or machine learning pipeline, accounting for over 50% of the project lifecycle . This slide deck is a companion resource to the H2O Label Genie Starter Course, reinforcing its lessons and guiding you through the foundational concepts and practical steps for labeling text, images, and audio using AI‑powered tools.
More Related Content
Similar to H2O Label Genie Starter Track - Support Presentation
H2O Label Genie Starter Track - Support Presentation
- 1. H2O.ai Confidential Label YourData with H2O Label Genie
- 2. H2O.ai Confidential 1. IntelligentAnnotation Label Your Data : Label Genie AI assisted data labelling Intelligent system with zero-shot models 2. Image, Text, Audio 3. Publish Data for Training
- 3. H2O.ai Confidential Label YourData : Label Genie Potential Use Cases Task Benefit Help to automatically label large volumes of free text responses in surveys so that downstream analysis can be conducted. E.g. Categorise the types of welfare benefits officers want (e.g. F&B vouchers, sport events, Holidays etc.) The traditional process is tedious and takes time since officers have to read through every single response and manually tag the information. With Label Genie, the tagging is done automatically and users just need to verify and correct the output. This allows users to spend on time on analysis and contributes to a faster turnaround time.
- 4. H2O.ai Confidential Supported Data Text Images Classification Regression EntityRecognition Summarization Text-generative AI Classification Regression Object Detection Image instance segmentation Audio Classification Regression
- 5. H2O.ai Confidential Supported Data Text Classification Regression EntityRecognition Summarization Text-generative AI
- 6. H2O.ai Confidential Zero-Shot LearningModels Overview How does “Zero-Shot Learning Models” help? • Eliminate the need for labelled data upfront (models already trained on vast and varied classes) • Enable high-accuracy, rapid labelling without the cost and delay of manual data labelling Text Classification: Uses the bart-large-mnli zero-shot learning model by default. Zero-Shot Learning Model Text Text Text Text Text Text Text Text Class 1: 96% Class 2: 4% Class 1: 100% Class 2: 0% Class 1: 6% Class 2: 94% Class 1: 0% Class 2: 100% Class 1: ??? % Class 2: ??? % …
- 7. H2O.ai Confidential Label YourData : Label Genie Platform Access www.aquarium.h2o.ai Step 1: Connect to the Aquarium platform as indicated in the following instructional video from YouTube: Getting Started with H2O.ai Aquarium Step 2: Select the Label Genie Lab. Step 3: Start the Lab and enjoy!
- 8. H2O.ai Confidential 1. PlatformAccess 2. Labelling 3. Publishing Label Your Data : Label Genie Multiple annotation types • Classification (Image, Audio, Text) • Regression (Image, Audio, Text) • Object detection (Image) • Entity recognition (Text) • Summarization (Text)
- 9. H2O.ai Confidential 1. PlatformAccess 2. Labelling 3. Publishing Label Your Data : Label Genie a. Create an annotation task - “Text Classification” example with Amazon product reviews - Task list: Classification - Text column: Comment b. Specify annotation task rubric - Class 1: “Happy” - Class 2: “Unhappy” c. Use zero-shot labelling + human review
- 10. H2O.ai Confidential 1. PlatformAccess 2. Labelling 3. Publishing Label Your Data : Label Genie Multiple annotation types • Classification (Image, Audio, Text) • Regression (Image, Audio, Text) • Object detection (Image) • Entity recognition (Text) • Summarization (Text) • Text-generative AI Multiple annotation types • Zero Shot Labelling • Self Learning
- 11. H2O.ai Confidential 1. PlatformAccess 2. Labelling 3. Publishing Label Your Data : Label Genie ● Download the annotated dataset or Export the dataset to H2O Drive ● The downloaded annotated dataset can be used in H2O Hydrogen Torch experiments and H2O LLM Studio.
- 12. H2O.ai Confidential Summary Label YourData with Label Genie - AI-Assisted Data Labelling - Zero-shot learning for intelligent annotation, reducing manual effort - Support labelling for text, image, and audio - Annotation types include: classification, regression, object detection, entity recognition, and summarisation - Workflow - Data -> Define Annotation Rubric -> Annotate -> Export - Data Publishing and Export - Export labelled datasets and use them in H2O Hydrogen Torch or H2O LLM Studio for model training
- 13.