| 000 | 01112nam a22002297a 4500 | ||
|---|---|---|---|
| 005 | 20260804161734.0 | ||
| 008 | 260804b |||||||| |||| 00| 0 eng d | ||
| 020 | _a9781633436343 | ||
| 040 | _cPK-LaUMT | ||
| 082 |
_a006.3 _bLAN-A |
||
| 100 | 1 |
_aLanham, Micheal _914731 |
|
| 245 | 1 | 0 |
_aAI agents in action / _cMicheal Lanham |
| 260 |
_aNew York : _bManning Publications, _c2025 |
||
| 300 | _axxii, 317 p. | ||
| 500 | _aIndex present | ||
| 520 | _aIn AI Agents in Action, you'll learn how to build production-ready assistants, multi-agent systems, and behavioral agents. You'll master the essential parts of an agent, including retrieval-augmented knowledge and memory, while you create multi-agent applications that can use software tools, plan tasks autonomously, and learn from experience. As you explore the many interesting examples, you'll work with state-of-the-art tools like OpenAI Assistants API, GPT Nexus, LangChain, Prompt Flow, AutoGen, and CrewAI | ||
| 546 | _aEng | ||
| 650 |
_aAgent platform _914732 |
||
| 650 |
_aAgent memory _914733 |
||
| 650 |
_aAgent planning _914734 |
||
| 942 | _cBK | ||
| 999 |
_c141900 _d141900 |
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