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6:05 RAG vs. Fine-Tuning: Choosing the Right Data-Centric Approach
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Classroom Contents
Agentic RAG - Nailing GenAI Precision in Production
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- 1 0:00 The Lawsuit Risk: Why 95% Accuracy Fails in ProductionUrgency/Controversy
- 2 3:30 Measuring Precision: The Challenge of GenAI Metrics
- 3 6:05 RAG vs. Fine-Tuning: Choosing the Right Data-Centric Approach
- 4 10:15 Enhancing Retrieval: Hybrid Search, Vector Search, and Re-ranking
- 5 16:30 The Agentic RAG Shift: From Brains to Focused Agents
- 6 19:45 Agent Architecture Explained: Controller, Planner, and Judge
- 7 22:50 Deep Dive: Orchestrator, Hierarchical, Blackboard, and Market-Based Agent PatternsDetailed technical content
- 8 34:00 Nailing Precision: Systematic Evaluation & Monitoring SelfCheckGPT, FEVER
- 9 37:25 Scaling Agents: From Microservices to a Data Streaming Architecture KafkaArchitecture/Scaling
- 10 42:30 Real-World Use Cases: SDR, Marketing Ops, and Cybersecurity Fraud DetectionPractical application
- 11 46:00 The Text-to-SQL Precision Trap and how to fix it with templating
