> ## Documentation Index
> Fetch the complete documentation index at: https://aitutorial.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Coming Soon

> Upcoming modules and topics

## What's Next

This tutorial is actively expanding. Here's what's coming:

### Multi-Agent Systems & Coordination

Multiple agents working together — workflow orchestration, agent-to-agent communication, and the A2A protocol.

* **Workflow Orchestration**: Sequential and parallel agent pipelines
* **Agent Orchestration**: Agents that delegate to other agents
* **A2A Communication**: Agent-to-Agent protocol for cross-system coordination

### Fine-Tuning

When prompting and RAG aren't enough — training models on your data for specialized behavior.

* **When to Fine-Tune vs RAG**: Decision framework
* **Data Preparation**: Building training datasets from production logs
* **LoRA & QLoRA**: Efficient fine-tuning techniques
* **Evaluation**: Measuring fine-tuned model quality

### Evaluation & Observability

Production-grade monitoring and testing for AI systems.

* **LLM Evaluation Frameworks**: Systematic testing beyond vibes
* **Observability**: Tracing, cost tracking, latency monitoring
* **A/B Testing**: Comparing model versions in production
* **Regression Detection**: Catching quality drops before users do

### Data Governance

Responsible AI practices for production systems.

* **Data Privacy**: PII handling, data retention policies, and compliance (GDPR, CCPA)
* **Access Control**: Role-based permissions for tools, data sources, and agent actions
* **Audit Trails**: Logging every decision, tool call, and data access for accountability
* **Bias & Fairness**: Detecting and mitigating bias in LLM outputs

***

Want to contribute or suggest a topic? Open an issue on [GitHub](https://github.com/ai-tutorial/website).