{
  "id": 686,
  "url": "https://arxiv.org/abs/2606.24937v1",
  "title": "The Hitchhiker's Guide to Agentic AI: From Foundations to Systems",
  "summary": "The Hitchhiker's Guide to Agentic AI is a comprehensive practitioner's reference for building autonomous AI systems. The book covers the full stack from first principles to production deployment, organized around a central thesis: building great agentic systems requires understanding every layer of the pipeline, not just one. The book opens with the LLM substrate -- transformer architecture, GPU systems, training and fine-tuning (SFT,LoRA, MoE), model compression, and inference optimization -- t",
  "authors": "Haggai Roitman",
  "category": "research",
  "topics": "agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-22T17:48:54.000Z",
  "fetched_at": "2026-07-14T14:14:41.553Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/686",
  "original_url": "https://arxiv.org/abs/2606.24937v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}