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Premiere

at Conf42 Machine Learning 2021 · on Thursday, 2021-07-29· [machine-learning]

speaker

name:none on file

resources

video:https://youtu.be/h6kzwaBwrCY

slides:none on file

summary

Pipeline automations show how to cut months of cross-team work to deployment by wiring AWS step-based ML pipelines into CI/CD; a drone case study benchmarks CNNs versus transformers for object detection with accuracy and latency numbers; practical demos include SageMaker BlazingText on entire Wikipedia for word embeddings, ONNX model export and deploy to embed models in apps, TensorRT + DeepStream low-latency pipeline for real-time inference, and an open-source vVate vector DB for semantic search — clear tools, datasets, and measured results.

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