– Real-world case study from practitioners already benefitting from faster model training and deployment
– Insights from ML experts on optimizing compute and scaling AI
– A walkthrough of W&B Models
– Best practices for accelerating ML workflows with minimal ops overhead
– How to train AI models efficiently with W&B Models
– How to seamlessly connect W&B Models within your AI stack
– Machine Learning Engineers and MLOps practitioners looking for optimized MLOps workflows
– Data Scientists eager to scale AI models with ease
– AI team leads tasked with seeking faster model deployment strategies
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