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🚀 GETTING STARTED

  • About BaseModel
  • Requirements
  • End-to-End Tutorial
  • Frequently asked questions

🌐 FOUNDATION MODEL

  • Foundation Model Stage Overview
  • Data Model and Sources
    • Defining Data Sources
      • Snowflake data sources
      • Snowflake Snowpark Container Services data sources
      • ClickHouse data sources
      • Databricks data sources
      • Azure Synapse data sources
      • Google BigQuery data sources
      • Apache Hive data sources
      • Parquet data sources
    • Customizing Data Sets
      • Data partitioning
      • Joining additional attributes
      • Data transformations
      • Shared entities
  • Data Types & Feature Encoding
  • Configuring Parameters
    • Data configuration
    • Control of data loading process
    • Model training configuration
    • Managing space and memory
    • End-to-end example configuration
    • Complete configuration example
  • Training the Model
    • Logging
    • Experiment tracking

⚙️ SCENARIO MODELS

  • Scenario Model Stage Overview
  • Defining the Task and Target of the Model
    • Target Function: Inputs
    • Target Function: Time Window and Operations on Events
    • Target Function Examples
      • Binary Classification Target Function
      • Multiclass Classification Target Function
      • Multi-label Classification Target Function
      • Regression Target Function
      • Recommendations Target Function
    • Target Function: Extra Columns
    • Validating the Target Function
  • Scenario training process set-up
    • Customizing the loading from foundation model
    • Fine-tuning training parameters
  • End-to-end examples of a scenario training scripts
  • Testing scenario model
    • Customizing testing metrics
  • Metrics

🛠️ APPLYING MODELS

  • Using Your Models Stage Overview
  • Making predictions with BaseModel
    • Advanced recommendation predictions
  • Working with checkpoints
  • Interpreting your model's predictions
    • Treemap visualizations
    • Single entity interpretations

📚 DEPLOYMENT & TROUBLESHOOTING

  • Deployment of BaseModel with Docker
  • Using SF Container Service
  • Troubleshooting
    • Foundation Model Training

❄️ Snowflake Native App

  • Quick Start
    • Initial installation and configuration
    • Train your first Foundation Model!
    • Build your first Fine-tuned Model!
    • Generate Predictions
  • Foundation Models
    • Creating Foundation Model
    • Defining Data Sources
    • Data Types & Feature Encoding
  • Fine-tuned Models
    • Fine-tuned Models View
    • Fine-tuned model Configuration view
  • Inferences
    • Inferences view
    • Inferences configuration
  • Runs
  • Error Codes
  • Overview Tab

❓ Knowledge Base

  • BaseModel Proposition
    • The WHY: Problem
    • The WHAT: Solution
    • The HOW: Implementation
    • The WIN: Benefits
  • Temporal data splits
  • Training, validation, and testing sets
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Fine-tuned Models

This Section describes how to navigate around building Fine-tuned Models.

There are 2 sections:

Fine-tuned Models View - Manage your fine-tuned models

Downstream Model Configuration - Build and configure Fine-tuned model

Updated 9 months ago


Data Types & Feature Encoding
Fine-tuned Models View