Intelligent data pipelines are key for enhancing the performance, cost reduction, safety, and reliability of AVs. By leveraging advanced data processing techniques and ML algorithms, intelligent data pipelines can use the raw sensor inputs and transform them into usable data for AI models, and perform the best selection of data for annotation. Addi’s team has been working with these pipelines to refine data for autonomous driving.
In this session, you will learn more about:
- Techniques on how to create intelligent data selection pipelines for AD
- What will be the impact of introducing LLMOps pipelines in existing MLOps pipelines
- Various strategies to manage large scale datasets with limited manual annotation
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