MLOps: Common Serialization Approaches, Session 2, part 1

Channel:
Canada LLMs Explained - Aggregate Intellect - AI.SCIENCE
Subscribers:
22,600
Published on ● Video Link: https://www.youtube.com/watch?v=2blrl4ZAtgY


Duration: 9:30
317 views
0

Pytorch options
Code example
Save & load model
Problem with naive model serialization
state_dict method



Other Videos By LLMs Explained - Aggregate Intellect - AI.SCIENCE


2022-03-28Azure MLops- MLops Flow- Session III, part 4
2022-03-28Azure MLops- MLPipeline_MNIST Hands-on- Session II, part 5
2022-03-28Azure MLops- Experiment Reproducibility Hands-on III- Session II, part 4
2022-03-28Azure MLops- Experiment Reproducibility Hands-on II- Session II, part 3
2022-03-28Azure MLops- Experiment Reproducibility Hands-on I- Session II, part 2
2021-09-21MLOps: Packaging Overview, Session 1, part 5
2021-09-21MLOps: Introduction/Overview, Session 1, part 1
2021-09-21MLOps: MLflow Hands On, Session 2, part 2
2021-09-21MLOps: Flask Iris Model Serving, Session 2, part 1
2021-09-21MLOps: Creating an AWS account and GitHub account, Session 1, part 2
2021-09-21MLOps: Common Serialization Approaches, Session 2, part 1
2021-09-09Machine Learning on Source Code - GitHub / Open AI Copilot
2021-09-02AI Product, Part 9: Long-term Validation
2021-09-02AI Product, Part 8: Short-term Validation
2021-09-02AI Product, Part 7: Storytelling
2021-09-02AI Product, Part 6: Product Team
2021-09-02AI Product, Part 5: Discovery
2021-09-02AI Product, Part 4: Talking to Users
2021-09-02AI Product, Part 3: Ideation
2021-09-02AI Product, Part 2: Frameworks
2021-09-02AI Product, Part 1: Principles


Tags:
deep learning
machine learning
mlops tutorial
mlops ai engineering
mlops world