R&D Talk 30 | Context Engineering: The Missing Layer of Enterprise AI Platforms (подія в архіві)

Are you ready to make your AI systems more reliable and production-ready?

Join the upcoming R&D Talk where we’ll explore why the biggest challenge in scaling AI is no longer the model itself, but the quality of the context behind it.

In this session, we’ll dive into context engineering — an approach to structuring and delivering enterprise knowledge to AI systems through retrieval pipelines, memory layers, and optimization strategies.

You’ll learn:

• How to design effective context pipelines, including retrieval strategies, memory layers, and context orchestration for enterprise-grade AI systems.

• Best practices to improving grounding and reducing hallucinations through context optimization and evaluation techniques.

• Real-world patterns for integrating context engineering into existing AI platforms and aligning it with business goals.

• How SoftServe helps organizations build and operationalize context-aware AI systems for reliable, production-ready outcomes.

🗓 April 28, 5- 6:00 PM EEST
📍 Online
🗣 In English

REGISTER hubs.ly/Q04c7s1P0

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