DeepSeek AI Architecture: A Comprehensive Overview of Its Core Components and Workflow

DeepSeek AI Architecture

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DeepSeek AI Architecture

• DeepSeek AI Architecture

👉 1. Data Layer

• 1.1 Data Layer Components
• 1.1.1 Data Sources
• 1.1.2 Data Ingestion
• 1.1.3 Data Storage
• 1.1.4 Data Cataloging and Metadata Management
• 1.1.5 Data Security and Privacy
• 1.2 Key Functions of the Data Layer
• 1.3 Tools and Technologies
• 1.4 Importance of the Data Layer

👉 2. Preprocessing Layer

• 2.1 Data Cleaning
• 2.2 Data Transformation
• 2.3 Data Augmentation
• 2.4 Data Splitting
• 2.5 Data Versioning
• 2.6 Tools and Frameworks
• Why is the Preprocessing Layer Important?

👉 3. Model Development Layer

• 3.1 Machine Learning Models
• 3.2 Deep Learning Models
• 3.3 Model Training