Unlocking the Future of Content Understanding at Netflix: Meet MediaFM
At Netflix, connecting millions with their favorite stories involves advanced content comprehension. With the emergence of live events and podcasts, our need for nuanced media understanding has never been greater.
Introducing MediaFM:
- A groundbreaking tri-modal content embedding model.
- Integrates audio, video, and text to generate rich contextual embeddings.
- Trains on diverse datasets to enhance recommendations, optimize promotional assets, and improve internal analysis.
Core Features:
- Contextual Shot Representations: Captures narrative dependencies across episodes.
- Self-Supervised Training: Leverages masked shot modeling to predict missing data.
- Versatile Applications: Powers ad relevancy, clip popularity ranking, tone classification, and more.
With the successful deployment of MediaFM, we’re redefining media intelligence.
👉 Join the conversation! Share your thoughts on the future of content AI and how it might influence storytelling!
