- 15 Sections
- 100 Lessons
- Lifetime
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- 1. Foundations and Context9
- 1.1RZL4 1.1 The Context Window Problem: Limits and Trade-offs
- 1.2RZL4 1.2 Understanding Context Rot in Large Language Models
- 1.3RZL4 1.3 Traditional RAG: Strengths and Failure Modes
- 1.4RZL4 1.4 Cost Profiles of Multi-Million Token Inputs
- 1.5RZL4 1.5 RLM Core Concept: Decompose, Recurse, Synthesize
- 1.6RZL4 1.6 RLM vs Standard LLM Architectures
- 1.7RZL4 1.7 The REPL as Execution Backbone
- 1.8RZL4 1.8 Reasoning Depth and Controlled Recursion
- 1.101RZL4 1. Quiz3 Questions
- 2. Core RLM Mechanics10
- 2.1RZL4 2.1 Variable Loading: Prompts as Typed Data
- 2.2RZL4 2.2 Prompt Splitting and Hierarchical Decomposition
- 2.3RZL4 2.3 The Query-Response-Synthesis Loop
- 2.4RZL4 2.4 Sub-Response Generation and Scoring
- 2.5RZL4 2.5 Depth Management and Recursion Control
- 2.6RZL4 2.6 Token Budget Optimization per Call
- 2.7RZL4 2.7 Self-Discovery of Navigation Strategies
- 2.8RZL4 2.8 Emergent Regex Filtering and Context Pruning
- 2.9RZL4 2.9 Verification via Self-Querying
- 2.101RZL4 2. Quiz3 Questions
- 3. Technical Implementation9
- 3.1RZL4 3.1 First RLM Environment Setup
- 3.2RZL4 3.2 Configuring a Python REPL for RLM
- 3.3RZL4 3.3 Implementing the Recursion Engine
- 3.4RZL4 3.4 State Management Across Calls
- 3.5RZL4 3.5 Error Handling in Deep Chains
- 3.6RZL4 3.6 Memory Management and GC Discipline
- 3.7RZL4 3.7 Logging and Debugging Trajectories
- 3.8RZL4 3.8 Performance Profiling Techniques
- 3.101RZL4 3. Quiz3 Questions
- 4. Model Integration8
- 4.1RZL4 4.1 Using RLM with GPT-4 and GPT-5
- 4.2RZL4 4.2 Implementing RLM on Claude
- 4.3RZL4 4.3 Qwen3-Coder Integration and Tips
- 4.4RZL4 4.4 Assessing Open Source Compatibility
- 4.5RZL4 4.5 Rate Limiting and Cost Management
- 4.6RZL4 4.6 Batching Recursive Calls
- 4.7RZL4 4.7 Model Selection by Role and Task
- 4.101RZL4 4. Quiz3 Questions
- 5. Prompt Engineering for RLMs8
- 5.1RZL4 5.1 Crafting Effective Root Prompts
- 5.2RZL4 5.2 Decomposable vs Non-Decomposable Tasks
- 5.3RZL4 5.3 Prompts that Encourage Smart Recursion
- 5.4RZL4 5.4 Guiding Strategy Self-Discovery
- 5.5RZL4 5.5 Preventing Infinite Loops
- 5.6RZL4 5.6 Templates for Common RLM Patterns
- 5.7RZL4 5.7 Context Compression Techniques
- 5.101RZL4 5. Quiz3 Questions
- 6. Real-World Applications9
- 6.1RZL4 6.1 Multi-Document Research and Synthesis
- 6.2RZL4 6.2 Legal Document Analysis at Scale
- 6.3RZL4 6.3 Processing Million-Line Codebases
- 6.4RZL4 6.4 Medical Record Analysis and Patterns
- 6.5RZL4 6.5 Financial Report Deep-Dive
- 6.6RZL4 6.6 Scientific Literature Review Automation
- 6.7RZL4 6.7 Long-Form Generation with Research
- 6.8RZL4 6.8 Competitive Intelligence Pipelines
- 6.101RZL4 6. Quiz3 Questions
- 7. Advanced Techniques8
- 7.1RZL4 7.1 Parallel Recursive Calls
- 7.2RZL4 7.2 Caching Strategies for RLM
- 7.3RZL4 7.3 Dynamic Depth Adjustment
- 7.4RZL4 7.4 Hybrid RAG plus RLM Architectures
- 7.5RZL4 7.5 Training for Recursive Reasoning
- 7.6RZL4 7.6 Fine-Tuning on Task Trajectories
- 7.7RZL4 7.7 Meta-Learning for Strategy Improvement
- 7.101RZL4 7. Quiz3 Questions
- 8. Performance and Optimization7
- 9. Integration and Deployment8
- 9.1RZL4 9.1 Building RLM APIs
- 9.2RZL4 9.2 Integrating with LangChain and LlamaIndex
- 9.3RZL4 9.3 Semantic Kernel Patterns
- 9.4RZL4 9.4 Dockerizing RLM Services
- 9.5RZL4 9.5 Cloud Deployment on AWS GCP Azure
- 9.6RZL4 9.6 Kubernetes Orchestration
- 9.7RZL4 9.7 Monitoring and Observability
- 9.101RZL4 9. Quiz3 Questions
- 10. Tool Ecosystem and Frameworks8
- 10.1RZL4 10.1 Function Calling with RLM
- 10.2RZL4 10.2 Tool Use and External APIs
- 10.3RZL4 10.3 Database Query Patterns
- 10.4RZL4 10.4 Web Scraping in Recursive Loops
- 10.5RZL4 10.5 File System Navigation and Processing
- 10.6RZL4 10.6 Version Control Integration
- 10.7RZL4 10.7 Custom Tooling for Domains
- 10.101RZL4 10. Quiz3 Questions
- 11. Security and Best Practices7
- 11.1RZL4 11.1 Sandboxing Recursive Code Execution
- 11.2RZL4 11.2 Preventing Prompt Injection
- 11.3RZL4 11.3 Resource Limits and Safety
- 11.4RZL4 11.4 Data Privacy in Multi-Document Pipelines
- 11.5RZL4 11.5 Audit Logging and Compliance
- 11.6RZL4 11.6 Rate Limiting and Abuse Prevention
- 11.101RZL4 11. Quiz3 Questions
- 12. Future and Research Directions9
- 12.1RZL4 12.1 Current Limitations and Issues
- 12.2RZL4 12.2 Active Research in Recursive AI
- 12.3RZL4 12.3 Theoretical Limits of RLMs
- 12.4RZL4 12.4 Combining RLMs with Other Paradigms
- 12.5RZL4 12.5 RLMs and the Path to AGI
- 12.6RZL4 12.6 Open Problems and Opportunities
- 12.7RZL4 12.7 Contributing to Open Source RLM
- 12.8RZL4 12.8 Building a Personal Research Agenda
- 12.101RZL4 12. Quiz3 Questions
- 13. Hands-On Projects7
- 13.1RZL4 13.1 Multi-Paper Literature Review System
- 13.2RZL4 13.2 Codebase Documentation Generator
- 13.3RZL4 13.3 Legal Contract Analysis Tool
- 13.4RZL4 13.4 Personal Knowledge Base Navigator
- 13.5RZL4 13.5 Research Assistant with Recursive Search
- 13.6RZL4 13.6 Production-Ready RLM Deployment
- 13.101RZL4 13. Quiz3 Questions
- 14. Community and Resources7
- RZL4 FinalQuiz1