Applied AI for Enterprise Java Development: Leveraging Generative AI, LLMs, and Machine Learning in the Java Enterprise - Formato Paperback
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| 18 | Q14.11 |
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| 48 | Q5.58 |
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| 10 (Sin recargo) | Q23.40 |
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| 18 | Q14.37 |
| Cuotas | Monto |
| 2 (Sin recargo) | Q117.00 |
| 3 (Sin recargo) | Q78.00 |
| 6 | Q41.15 |
| 10 | Q24.80 |
| 12 | Q20.87 |
| 15 | Q16.93 |
| 18 | Q14.37 |
| 24 | Q10.97 |
| 36 | Q7.35 |
| 48 | Q5.53 |
| Cuotas | Monto |
| 3 (Sin recargo) | Q78.00 |
| 6 (Sin recargo) | Q39.00 |
| 10 (Sin recargo) | Q23.40 |
| 12 (Sin recargo) | Q19.50 |
| 15 | Q16.54 |
| 18 | Q13.91 |
| 24 | Q10.73 |
| 36 | Q7.41 |
| 48 | Q5.46 |
| Cuotas | Monto |
| 3 (Sin recargo) | Q78.00 |
| 6 | Q41.15 |
| 10 | Q24.80 |
| 12 | Q20.87 |
| 15 | Q16.93 |
| 18 | Q14.37 |
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- As a Java enterprise developer or architect, you know that embracing AI isnt just optional—its critical to keeping your competitive edge. The question is, how can you skillfully incorporate these groundbreaking AI technologies into your applications without getting mired in complexity?Enter this clear-cut, no-nonsense guide to integrating generative AI into your Java enterprise ecosystem. With insights from authors Alex Soto Bueno, Markus Eisele, and Natale Vinto, youll learn to marry the robustness of Javas enterprise world with the dynamism of AI. Its more than just a how-to—its a way to elevate enterprise software with savvy AI integrations, ensuring your skills and your applications remain on the cutting edge. Inside, youll unlock the power to:Demystify GenAIs role and impact on contemporary software developmentCraft actionable, AI-driven applications using Javas rich ecosystem of open source frameworksImplement field-tested AI patterns tailored for prod-ready, enterprise-strength applicationsAccess and integrate top-tier open source AI models with Javas Inference APIsNavigate the Java framework landscape with AI-centric agility and confidence
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