Uploaded June 2025 | Updated September 2026, 2 weeks ago
Label Genie: h2o.ai/platform/ai-cloud/make/h2o-label-genie
Welcome to Part 3 of the course, watch Part 2 here: youtu.be/HGncp-HCO9w
In Part 3, we improve our last example from the previous video-where we had use a language model to create summaries.
In this one, we use h2oGPT to create executive overview of our reviews. This feature shows our integrations and ease of using Large Language Models to assist with data labelling.
The goal is to show you how LLMs can further speed up your workflow with text datasets.
Credits:
Datasets used:
kaggle.com/datasets/arushchillar/disneyland-reviews
kaggle.com/datasets/crowww/a-large-scale-fish-dataset
kaggle.com/datasets/rajneesh231/lex-fridman-podcast-transcript
Label Genie: h2o.ai/platform/ai-cloud/make/h2o-label-genie
Welcome to Part 3 of the course, watch Part 2 here: youtu.be/HGncp-HCO9w
In Part 3, we improve our last example from the previous video-where we had use a language model to create summaries.
In this one, we use h2oGPT to create executive overview of our reviews. This feature shows our integrations and ease of using Large Language Models to assist with data labelling.
The goal is to show you how LLMs can further speed up your workflow with text datasets.
Credits:
Datasets used:
kaggle.com/datasets/arushchillar/disneyland-reviews
kaggle.com/datasets/crowww/a-large-scale-fish-dataset
kaggle.com/datasets/rajneesh231/lex-fridman-podcast-transcript
