Interactive Tutorials
Go beyond reading—experience AI concepts through hands-on simulations, visualizations, and step-by-step walkthroughs. Perfect for understanding complex topics like agentic workflows, prompt engineering, and model behaviors.
Learn by Doing
Interact with simulations and see concepts in action rather than just reading about them.
Experiment Freely
Try different parameters, see immediate results, and build intuition through exploration.
Stay Engaged
Active learning keeps you focused and helps concepts stick better than passive reading.
Available Tutorials
Agentic Search
See how AI agents transform single queries into multi-step research workflows using tools, planning, and synthesis.
You'll explore:
- • Traditional vs Agentic Search comparison
- • 8 interactive tools (APIs, analytics, CRM)
- • MCP manifests and tool discovery
- • Step-by-step workflow simulation
Multi-Agent Frameworks
Learn how production multi-agent systems manage context: tiered state, processor pipelines, and scoped handoffs.
You'll explore:
- • Context as a compiled view
- • Tiered context design
- • Processor pipelines & caching
- • Scoped multi-agent handoffs
Bayesian Bike Recommender
Discover how Bayesian networks can enhance LLM recommendations by combining probabilistic reasoning with conversational AI.
You'll explore:
- • LLM chat + Bayesian inference comparison
- • Conditional probability visualization
- • Interactive network graph
- • Real-time belief propagation
LLM Fine-Tuning
Master data-centric model customization: from LoRA adapters and small language models to catastrophic forgetting mitigation.
You'll explore:
- • LoRA rank simulator with VRAM impact
- • SLM cost-efficiency comparison
- • Catastrophic forgetting visualizer
- • Multi-provider pricing calculator
More Coming Soon
Additional interactive tutorials in development
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