場次內容
課程簡介:
How to Optimize Deep Learning Workflows with Fast S3
Building a reproducible and scalable deep learning system with fast S3 as the central data and model repository.
Generative AI, RAG, and Data Infrastructure
A practical introduction to generative AI, RAG, and the data infrastructure needed to support them.
How to Run Apache Spark on Kubernetes: Approaches and Workflow
The best ways to run Spark jobs on Kubernetes for development, data exploration, and in production.
課程大綱:
How to Optimize Deep Learning Workflows with Fast S3
Distributed Training with Fast NFS
Optimizing DL Workflow with Fast S3
Using Data Sets in S3
Using S3 for Model Tracking and Serving
Generative AI, RAG, and Data Infrastructure
Generative AI and Data Infrastructure
Data Infrastructure for Training Generative AI
RAG and Data Infrastructure
RAG Example: Searching corporate documents
Data Infrastructure for RAG
How to Run Apache Spark on Kubernetes: Approaches and Workflow
Supercharging Jupyter Notebook with PySpark on Kubernetes
Streamline Spark Submission in Production
Orchestrate and Schedule Pipelines
適訓對象:
AI系統架構規劃及其使用者、大數據分析使用者以及研究等相關人士，或對生成式 AI 以及最佳化架構有興趣之人員。
