

The series of webinars "The A-Z of Data" come back in July, MLOps in 10 minutes, best practices for deploying computer vision models, it is time to explore LCE, graph ordering attention networks, OnePose, Diffuser, Imagen, and more.
How MLOps helps across all stages of ML project
MLOps with SageMaker, introduction to the YOLO family, multi GPU model training, neural 3D scene reconstruction with the manhattan-world assumption, learning to answer questions from millions of narrated videos, ConvMAE, ARTEMIS, EasyNLP, and more.
Kubeflow MLOps, a comprehensive list of strategies for feature selection, introducing PyScript, open pre-trained transformer language models, DeepNorm, NeurMiPs, Stanford CS224N NLP with Deep Learning, LAION-5B dataset, and more.
We are excited to get back to work, to revive Data Phoenix from the ashes of war. Today you will know about emerging architectures for modern data infrastructure, backpropagation in RNN, masked generative image transformer, scalable large scene neural view synthesis, and more.