Multimodal and Cross-Disciplinary MLOps
Integrating ML with other data types and domains.
Chapter 52: Multimodal MLOps Applications: Visual question answering, video analytics Tools: Hugging Face, MMF Chapter 53: Multimodal Foundation Models (New) Vision-language models, audio-language models Operational challenges for multimodal systems [Models: CLIP, Whisper; Cross-modal alignment] Chapter 54: MLOps for Time-Series Data Applications: Forecasting, anomaly detection Tools: Prophet, Kats, GluonTS Chapter 55: MLOps for Geospatial Data Applications: Urban planning, satellite imagery Tools: GeoPandas, Rasterio Chapter 56: MLOps for Graph Data Applications: Social networks, fraud detection Tools: DGL, PyTorch Geometric