| 000 | 01551nam a22002417a 4500 | ||
|---|---|---|---|
| 005 | 20260604122241.0 | ||
| 008 | 260604s2026 |||||||| |||| 00| 0 eng d | ||
| 020 | _a9780135489680 | ||
| 040 | _cPK-LaUMT | ||
| 082 |
_a006.3 _bOZD-B |
||
| 100 | 1 |
_aOzdemir, Sinan _98922 |
|
| 245 | 1 | 0 |
_aBuilding agentic AI : _bworkflows, fine-tuning, optimization, and deployment / _cSinan Ozdemir |
| 260 |
_aHoboken : _bAddison-Wesley, _c2026 |
||
| 300 | _axv, 298 p. | ||
| 490 | _aJoe Krohn's Pearson AI Signature series | ||
| 500 | _aIndex present | ||
| 520 | _aTransform Your Business with Intelligent AI to Drive Outcomes Building reactive AI applications and chatbots is no longer enough. The competitive advantage belongs to those who can build AI that can respond, reason, plan, and execute. Building Agentic AI: Workflows, Fine-Tuning, Optimization, and Deployment takes you beyond basic chatbots to create fully functional, autonomous agents that automate real workflows, enhance human decision-making, and drive measurable business outcomes across high-impact domains like customer support, finance, and research. Whether you're a developer deploying your first model, a data scientist exploring multi-agent systems and distilled LLMs, or a product manager integrating AI workflows and embedding models, this practical handbook provides tried and tested blueprints for building production-ready systems. | ||
| 546 | _aEng | ||
| 650 | _aArtificial intelligence | ||
| 650 | _aMachine learning | ||
| 650 |
_aIntelligent agents _912265 |
||
| 942 | _cBK | ||
| 999 |
_c140958 _d140958 |
||