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10min chapter
Open source data labeling tools
Practical AI: Machine Learning, Data Science, LLM
The Future of Data Labeling with Label Studio
This chapter delves into the functionalities of Label Studio, including using provided templates for labeling tasks, integrating it into data pipelines, and options for collaboration on labeling tasks. They discuss the interaction between Label Studio, annotation tools, and training scripts, as well as the community response, future challenges, and advancements in data labeling. The importance of quality control, AI augmentation, and community contributions are emphasized for the tool's growth and development.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode