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51:00 Extracting Structured Data from PDFs for Email Generation
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Classroom Contents
Building GenAI-Powered Applications - A Workshop for Software Engineers
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- 1 0:00 Introduction and Overview
- 2 12:00 Using LMs to Generate Emails and Refining with Feedback
- 3 25:00 Transitioning from Pipelines to Human-in-the-Loop Workflows
- 4 38:00 Running the App: Setting Up the Environment and Execution
- 5 51:00 Extracting Structured Data from PDFs for Email Generation
- 6 1:05:00 Evaluating LM Output and Improving Personalization
- 7 1:18:00 Testing LM-generated Emails: Metrics and Business Impact
- 8 1:32:00 Observability, Tracing, and Error Handling in LM Systems
- 9 1:47:00 Building Search and Retrieval Components RAG for LM Apps
- 10 2:02:00 Optimizing Prompts and Using Synthetic Data for Testing
- 11 2:17:00 Challenges with Prompt Optimization and Fine-tuning
- 12 2:32:00 Scaling LMs in Production and Business Considerations
- 13 2:45:00 Final Thoughts on AI-driven Email Automation
- 14 2:55:00 Next Steps, Q&A, and Closing Discussion