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arXiv CS.AI
6/25/2026
The Hitchhiker's Guide to Agentic AI: From Foundations to Systems

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems

Short summary

Comprehensive technical reference covering the full stack of autonomous AI systems: LLM foundations (transformers, training, inference), alignment and reasoning (RLHF, PPO, DPO, chain-of-thought), agentic AI (RAG, memory systems, agent design patterns), and multi-agent coordination (MCP, A2A protocols). Pairs theory with implementation guidance and code examples for production deployment.

  • •Full-stack coverage from transformer architecture to production deployment
  • •Deep treatment of alignment (RLHF, PPO, DPO), reasoning, and agentic training
  • •Multi-agent coordination patterns including Model Context Protocol (MCP)

Generated with AI, which can make mistakes.

#ai-agents#ai-tools#research-breakthrough#certification-education
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