This webinar will provide a technical overview and a demo of Merlin - an end-to-end framework for building a modern recommenders pipeline. In the demo, we will explain how to build a session-based recommender model going from a simple deep learning model to transformer-based architecture.

With NVIDIA Merlin, beginners can jumpstart their RecSys pipeline, while experienced practitioners can speed up their solution using the components of Merlin:

• NVTabular - Feature engineering and preprocessing

• Merlin Models - Training rec sys models ranging from Collaborative Filtering to advanced DL models

• HugeCTR - DL framework for maximum performance and scalability

• Transformers4Rec - Session-based and sequential recommendations

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