This commit significantly improves the README.md file by adding more detailed explanations and instructions for users and developers.
Expanded Overview: Provides a more comprehensive overview of the Looker GenAI Extension's capabilities, highlighting its benefits and target audience.
Detailed Architecture Overview: Includes a more detailed explanation of the architecture diagram and workflows, making it easier for users to understand how the extension works.
Enhanced Terraform Deployment Instructions: Provides more detailed instructions on deploying the infrastructure using Terraform, including prerequisites, script explanations, and troubleshooting tips.
Step-by-Step Looker Extension Deployment: Breaks down the deployment steps into smaller, more manageable chunks with screenshots and alternative deployment methods.
Improved Configuration and Usage: Provides more example prompts, detailed descriptions of user settings, and highlights advanced features.
Comprehensive Development Environment Setup: Includes detailed instructions on setting up a development environment, code structure, testing, and debugging.
Added Advanced Fine-Tuning Information: Explains how to fine-tune the LLM model using Vertex AI and provides a sample Terraform script.
These improvements make the README more comprehensive and user-friendly, making it easier for developers and data analysts to understand and use the Looker GenAI Extension.
This commit significantly improves the README.md file by adding more detailed explanations and instructions for users and developers.
These improvements make the README more comprehensive and user-friendly, making it easier for developers and data analysts to understand and use the Looker GenAI Extension.