Join Encord’s ML team in this demo-focussed webinar to learn how to integrate leading foundation models (R1, O3, Claude 3.7, Grok 3) and custom Hugging Face models into AI data workflows to automate any manual data tasks at petabyte scale and unthinkable speed.

Key highlights

• How to integrate AI models to automate any data labeling task such as object detection and tracking to audio transcription, video summarization, and sentiment analysis with Encord Data Agents.
• How to leverage Encord Data Agents for scaling high-volume manual data actions like cropping, audio-video pairing, polygon edge snapping.
• How to chain multiple AI models together to build a customized data engine for creating impossible datasets.
• How to use SOTA foundation models for data reasoning and LLM-as a-Judge to accelerate data pipelines throughput whilst maintaining quality.
  

Tune in to learn future-proof principles for combining AI model efficiency with human-in-the-loop quality control to build large-scale high-quality datasets fast.