arXiv:2606.24937v1 Announce Type: cross Abstract: 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 -- treated as essential foundations rather than the pr
The proliferation of more powerful language models and increasing interest from practitioners necessitates a comprehensive guide to building autonomous AI systems.
This publication indicates academic and industry consolidation around agents as a key development axis, suggesting a maturing field moving towards systematic application rather than pure research.
The availability of a 'practitioner's reference' for agentic AI shifts the focus from theoretical concepts to practical implementation, potentially accelerating development and deployment.
- · AI developers
- · Companies adopting AI agents
- · Open-source AI communities
- · Tasks easily automated by agents
- · Legacy software providers
- · Companies slow to adopt AI
Increased pace of AI agent development and deployment across various industries.
Automation of complex white-collar workflows, leading to significant productivity gains and disruption of traditional SaaS models.
Reconfiguration of organizational structures and job markets as autonomous agents take on more sophisticated roles, requiring human oversight and coordination.
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Read at arXiv cs.LG