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Learn about the integration of Large Language Models (LLMs) with agentic AI technologies in this 45-minute conference talk from Devoxx. Explore how combining different AI approaches can enhance decision-making processes while maintaining transparency and reliability. Discover practical examples of emerging patterns including RAG (Retrieval Augmented Generation), external tools invocation, and guardrails, particularly in scenarios requiring auditable and rule-based outcomes. Understand why mixing complementary AI technologies can overcome limitations of using LLMs alone, such as hallucinations and limited auditability. See demonstrations of how Quarkus, through its langchain4j and drools extensions, simplifies the development of applications that integrate these diverse AI technologies. Gain insights into implementing transparent business logic using Symbolic AI alongside LLMs, ensuring both innovation and accountability in AI-driven decision-making processes.
